System Analysis and Design

1

Contents Abstract: ................................................................................................................................................. 3

Introduction: .......................................................................................................................................... 3

Theory: ................................................................................................................................................... 3

Gathering Data: ...................................................................................................................................... 3

Method: .................................................................................................................................................. 3

Result: ..................................................................................................................................................... 4

Gather Data-2006 ................................................................................................................................... 4

Gather Data-2007 ................................................................................................................................... 4

Model Test-2006 .................................................................................................................................... 4

Correlation of data 2006 ................................................................................................................... 4

Causation ........................................................................................................................................... 4

Calculation of cusum-2006 ................................................................................................................. 5

Liner Model -2006: ............................................................................................................................ 5

Model Testing Data 2006 ................................................................................................................... 5

Model Test-2007: ................................................................................................................................... 6

Correlation ......................................................................................................................................... 6

Causation ........................................................................................................................................... 6

Calculation of Cusum-2007 ................................................................................................................ 7

Liner Model – 2007 ............................................................................................................................ 7

Model Testing Data 2007 ................................................................................................................... 7

Prediction Check 2006-2007 .................................................................................................................. 8

Product Wise Analysis: ........................................................................................................................... 9

Calculation for Camping Equipment .................................................................................................. 9

Calculation of Golf Equipment ......................................................................................................... 10

Calculation of Outdoor Protection ................................................................................................... 10

Calculation for Personal Accessories ............................................................................................... 10

Year 2006 ......................................................................................................................................... 11

Data of Camping Equipment ............................................................................................................ 11

Line Graph ........................................................................................................................................ 11

Data of Golf Equipment ................................................................................................................... 12

Line Graph ........................................................................................................................................ 12

Data of Outdoor Protection ............................................................................................................. 12

Line Graph ........................................................................................................................................ 12

Data of Personal Accessories ........................................................................................................... 12

Line Graph ........................................................................................................................................ 12

Year 2007 ......................................................................................................................................... 13


Line Graph ........................................................................................................................................ 13


Line Graph ........................................................................................................................................ 13

Compare Between product wise revenue in year 2006 and 2007 ...................................................... 14

Data of camping Equipment ............................................................................................................ 14

Line Graph ........................................................................................................................................ 14


Line Graph ........................................................................................................................................ 14


Line Graph ........................................................................................................................................ 14


Line Graph ........................................................................................................................................ 15

2

Discussion: ............................................................................................................................................ 15

Discussion-2006 data ....................................................................................................................... 15

Discussion-2007 data ....................................................................................................................... 16

Finding the problem ........................................................................................................................ 16

Solve the Problem ........................................................................................................................... 16

Conclusion: ........................................................................................................................................... 17

List of reference: .................................................................................................................................. 18

Appendix .............................................................................................................................................. 19

Data 2006 ......................................................................................................................................... 19

Data 2007 ......................................................................................................................................... 21

Cusum of Data 2006 ......................................................................................................................... 22

Model Test 2006 .............................................................................................................................. 24

Cusum calculation of data 2007 ....................................................................................................... 26

Model Test 2007 .............................................................................................................................. 27

Prediction Test 2006-2007 ............................................................................................................... 28

Camping Equipment ......................................................................................................................... 30

Calculation of Golf Equipment ......................................................................................................... 30

Calculation of Outdoor Protection ................................................................................................... 31

Calculation of Personal Accessories ................................................................................................. 31

Data for Camping Equipment ........................................................................................................... 34






Data of camping Equipment ............................................................................................................ 37




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Abstract: I want study on few product lines about how much revenue they generate in a year and what is the gross profit and target. I am working on a Sport shop about those product normally I have to consider the unit cost which is called cost of good sole (Unit cost is manufacturing cost include direct materials, direct labour and variable overhead cost.), Unit price is the selling price of the good, Quantity is the amount of sold product, Revenue is the amount generate from sell and Gross profit is simple profit also the target profit. From past data like 2006 we work with it and can draw a model, from the model we can predict the data of the next year. Then we can cross check the data of next year and depend on that we can take decision for further task. For example we may can do for increase the profit try to decries the cost price or keep the cost price same increase the unit price. Also we can do some other task like if sale is good we may push some other product or if sale is fall then we can promote same product in different way. Because I have few variables to deal with I can use the Linear Regression for my model.

Introduction: For decision support system data modelling is very important part. A good model can help you to make profitable the business. From a good model also we can do assumption, prediction and then from that we can take a long term decision. For that we can save our time or if any problem occurs then we can find out and deal with it from beginning and solve it before the problem occurs. I am working with sale and gross profit and how they react on each other. I want to draw a model for them, form the model we can predict the future sale and can take any further action if needed. Sale and profit have few more related data like unit cost, unit price, revenue etc for that normally we have to chose linear model. It’s a very common model to deal with this sort of problem because it support multi variable (Independent value) and this analysis give the outputs of the prediction values of the dependent variables. It’s a mathematical problem data model. And we can use the multiple liner model like y = U (X1, X2…Xn).

Theory: To model my study I am using all mathematical equation like linier equation, residual calculation, correlation of independent and dependent variables, cusum for find out the break point.

Gathering Data: I collect some data of a shop which is sealing camping equipments, golf equipments, personal accessorises etc. I have their Unit cost, Unit price, Amount of sold product, Total revenue on particular product and Gross profit in a time period. From this data we can tell my independent data are unit cost, unit price, quantity sold, revenue and dependent data is gross profit. Here gross profit the final measure. Unit price, unit cost, quantity and revenue are the nominal data and gross profit is interval data. All my data are real number data only quantity is integer.

Method: This data collected from a sport shop of North America named Aarhus sport. Collected by IBM for their analysis and make a sample data warehouse to support their BI application IBM cognos. And it sent by e-mail Mr.O.S. Khan (IBM, Canada, 2010).

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My model is an empirical model. And we already got our variables. I chose this model because of my experiment support my model. And I have to do few experiments to reach my goal. Like correlation, cusum, model test applying linier regression. Find out the predict value of 2006 data then compare with 2007 data and try to find out the problems.

Result: The methods I will apply for my experiments are:

Gather Data-2006 The set of data will get in Appendix.

Gather Data-2007 The set of data will get in Appendix.

Model Test-2006

Correlation of data 2006

Correlation to identify the relation between the gathered data of 2006. Mathematical Formula of Correlation- C(x, y) = CORREL(X(x1…xn), Y (y1...yn)) Let say unit cost is x1, unit price is x2, quantity is x3, revenue is x4 and gross profit is y. Then using the formula of correlation we got (x1, y) = 0.636; (x2, y) = 0.654; (x3, y) = 0.094; (x4, y) = 0.979; Here we can see only X4 is highly correlated with Y, X3 not correlated well and X2 and X1 is average. For study I am taking only one sample which is highly correlated. Because I believe other data may effect on our study and can drive wrongly.

Causation

They have structural similarity between them. If revenue is high normally profit will be high as well it’s a common sense. Like if the wind is high then boat go faster the direction of wind. For better understanding we test the cusum of the data. From the graph we can understand we do not need to piece wise model. Because the line is straight down direction there is no up and down and no wave.

5

Calculation of cusum-2006

The set of data will get in Appendix. Comments: Here is no pick point so we don’t need to consider piece wise model Fig-CUSUM of gathered data 2006.

Liner Model -2006:

Model Testing Data 2006

The set of data will get in Appendix. X4 and Y Scatter Graph-2006

y = -5872.1x - 48650

R2 = 0.9755

-700,000.00

-600,000.00

-500,000.00

-400,000.00

-300,000.00

-200,000.00

-100,000.00

0.00

100,000.00

0 20 40 60 80 100

Series1

Linear (Series1)

y = 0.4763x - 502.71

R2 = 0.959

-10,000.00

0.00

10,000.00

20,000.00

30,000.00

40,000.00

50,000.00

60,000.00

0.00 50,000.00 100,000.00 150,000.00

Series1

Linear (Series1)

6

Now from the Method-1 value and Gross Profit we can draw a line diagram to observe that the whole year how it’s gone or how match with predict value the actual value. Line Graph-2006

Model Test-2007:

Correlation

Let say unit cost is x1, unit price is x2, quantity is x3, revenue is x4 and gross profit is y. Then using the formula of correlation we got (x1, y) = 0.398; (x2, y) = 0.393; (x3, y) = 0.281; (x4, y) = 0.969; Here we can see only X4 is highly correlated with Y, X3, X2 and X1 are not correlated well. For study I am taking only one sample which is highly correlated. Because I believe other data may effect on our study and can drive wrongly.

Causation

The same cause as I said before. Here we also calculation of the cusum of the data. And result also same like before straight down there is no up and down and no wave.

-10,000.00

0.00

10,000.00

20,000.00

30,000.00

40,000.00

50,000.00

60,000.00

1 5 9 13 17 21 25 29 33 37 41 45 49 53 57 61 65 69 73 77 81 85 89 93

Series1

Series2

7

Calculation of Cusum-2007

The set of data will get in Appendix. Comments: Here is no pick point so we don’t need to consider piece wise model

Fig-CUSUM of gathered data 2007

Liner Model – 2007

Model Testing Data 2007

The set of data will get in Appendix. X4 and Y Scatter Graph-2007

y = -5042.8x - 18960

R2 = 0.9852

-300000.000

-250000.000

-200000.000

-150000.000

-100000.000

-50000.000

0.000

0 20 40 60

Series1

Linear (Series1)

y = 0.3839x + 456.53

R2 = 0.9389

0.00

5000.00

10000.00

15000.00

20000.00

25000.00

30000.00

0.00 20000.00 40000.00 60000.00 80000.00

Series1

Linear (Series1)

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Now from the Method-1 value and Gross Profit we can draw a line diagram to observe that the whole year how it’s gone or how match with predict value the actual value. Line Graph-2007

Prediction Check 2006-2007 For better understand we can cross check the tow year’s data let see the both year’s prediction data and make a graph from that… Line Graph-2006 and 2007 of Prediction The set of data will get in Appendix.

0.000

10000.000

20000.000

30000.000

40000.000

50000.000

60000.000

1 4 7 10 13 16 19 22 25 28 31 34 37 40 43 46

Series2

Series1

-10000.00

0.00

10000.00

20000.00

30000.00

40000.00

50000.00

60000.00

1 6 111621 2631 3641 4651 5661 6671 7681 8691

Series1

Series2

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Product Wise Analysis: Now we have to find out why this problem occurred. For that we have to analyze product wise sale. Let’s do the calculation

Calculation for Camping Equipment

The set of data will get in Appendix. X-Y Scatter Graph for 2006

X-Y Scatter Graph for 2007

y = 0.3889x + 636.51

R2 = 0.9893

0.00

5,000.00

10,000.00

15,000.00

20,000.00

25,000.00

30,000.00

0.00 20,000.00 40,000.00 60,000.00 80,000.00

Series1

Linear (Series1)

y = 0.381x - 341.77

R2 = 0.9627

0.00

5000.00

10000.00

15000.00

20000.00

25000.00

30000.00

0.00 20000.00 40000.00 60000.00 80000.00

Series1

Linear (Series1)

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Calculation of Golf Equipment

The set of data will get in Appendix.


Calculation of Outdoor Protection


Calculation for Personal Accessories


y = 0.4924x + 1363.6

R2 = 0.9935

0.00

10,000.00

20,000.00

30,000.00

40,000.00

50,000.00

60,000.00

0.00 50,000.00 100,000.00 150,000.00

Series1

Linear (Series1)

y = 0.6375x - 39.917

R2 = 0.9996

0.00

500.00

1,000.00

1,500.00

2,000.00

2,500.00

3,000.00

0.00 1,000.

00

2,000.

00

3,000.

00

4,000.

00

5,000.

00

Series1

Linear (Series1)

y = 0.3703x + 470.44

R2 = 0.8933

0.00

2,000.00

4,000.00

6,000.00

8,000.00

10,000.00

12,000.00

14,000.00

16,000.00

0.00 10,000

.00

20,000

.00

30,000

.00

40,000

.00

50,000

.00

Series1

Linear (Series1)

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Now we can draw product wise the line graph for 2006 and 2007

Year 2006

Data of Camping Equipment


Line Graph

y = 0.4273x + 74.997

R2 = 0.9105

0.00

2000.00

4000.00

6000.00

8000.00

10000.00

12000.00

14000.00

16000.00

18000.00

0.00 10000.00 20000.00 30000.00 40000.00

Series1

Linear (Series1)

0.00

5,000.00

10,000.00

15,000.00

20,000.00

25,000.00

30,000.00

1 2 3 4 5 6 7

Series1

Series2

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Data of Golf Equipment


Line Graph

Data of Outdoor Protection


Line Graph

Data of Personal Accessories


Line Graph

0.00

10,000.00

20,000.00

30,000.00

40,000.00

50,000.00

60,000.00

1 2 3 4 5 6 7

Series1

Series2

0.00

500.00

1,000.00

1,500.00

2,000.00

2,500.00

3,000.00

1 2 3

Series1

Series2

0.00

2,000.00

4,000.00

6,000.00

8,000.00

10,000.00

12,000.00

14,000.00

16,000.00

1 4 7 10 13 16 19 22 25 28 31 34 37 40 43 46 49 52 55 58 61 64 67 70 73 76

Series1

Series2

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Year 2007

Data of Camping Equipment


Line Graph

There is no Data for Golf Equipment and Outdoor Protection in 2007



Line Graph

0.00

5000.00

10000.00

15000.00

20000.00

25000.00

30000.00

1 2 3 4 5

Series1

Series2

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12000.00

14000.00

16000.00

18000.00

1 3 5 7 9 11 13 15 17 19 21 23 25 27 29 31 33 35 37 39 41 43

Series1

Series2

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Compare Between product wise revenue in year 2006 and 2007

Data of camping Equipment


Line Graph



Line Graph



Line Graph

0.00

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20,000.00

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60,000.00

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1 2 3 4 5 6 7

Ser i es1

Ser i es2

0.00

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40,000.00

60,000.00

80,000.00

100,000.00

120,000.00

1 2 3 4 5 6 7

Ser i es1

Ser i es2

0.00

500.00

1,000.00

1,500.00

2,000.00

2,500.00

3,000.00

3,500.00

4,000.00

4,500.00

1 2 3

Series1

Series2

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Line Graph

Discussion:

Discussion-2006 data

From the X and Y scatter graph we got the equation of y = 0.4763x-502.71. This equation we use for the value of Method-1 which is predict value for the product. If we consider the first value from the table we can see Revenue= 8326.62 Gross Profit= 3972.18 Predicted value= 3463.26 Residual= 508.92 We can come to a conclusion that our predicted value profit for that product is 3463.26 and we made 3972.18 so we over made 508.92. The same way if we take a negative value Residual like -1883.81 here our Predicted value was 6628.19 and actual value was 4744.38 so we didn’t meet the target. Also the value of R square = 0.959 say that this is the best fitted value for the model. From the Line Graph-2006 we can see our prediction and goal is running well because they lying on each other even some times is doing better than what was predicted. Normally we can think that the next year will be the same ratio of revenue and gross profit. Unless any unexpected problem occurs.

0.00

5,000.00

10,000.00

15,000.00

20,000.00

25,000.00

30,000.00

35,000.00

40,000.00

45,000.00

1 4 7 10 13 16 19 22 25 28 31 34 37 40 43 46 49 52 55 58 61 64 67 70 73 76

Series1

Series2

16

Discussion-2007 data

From the graph we got the equation of y = 0.3839x + 456.53. This equation we use for the value of Method-1 which is predict value for the product. If we consider the first value from the table we can see Revenue= 34759.64 Gross Profit= 9343.40 Predicted value= 13800.76 Residual= -4457.36 We can come to a conclusion that our predicted value profit for that product is 13800.76 and we made 9343.40 so we less of target is -4457.36. So we didn’t meet the target. Also the value of R square = 0.9389 say that this is the best fitted value for the model. From the Line graph of 2007 we can come to a conclusion that this year target value always far from actual value. That means we didn’t meet the target. That’s mean something going wrong in business.

Finding the problem

To find out the problem we did some test like we compare the prediction of 2006 and 2007 and from the graph we can understand there are few big differences sometime of the prediction. And also in 2007 there are minimum sales of products. So from here we get a clear view about the problem one is our prediction was wrong for year 2007 and also total amount of sale also less then last year. Now we can go some deep down that why our prediction went wrong then from the product wise analysis of 2006 we can see all the product revenue is fine with the target and from the line graph we can see all of them laying on each other. Our assumption was same like 2006 for 2007. But in 2007 we can see from the data analysis tow product line had completely zero sale. And other two lines were ok not perfect. Sometime we can see the gap from the line graph. From the product wise revenue analysis we can see in 2007 two line was zero that we said before and camping equipment was start good but then stop for any reason and personal accessories also start good but total amount of sales is less then 2006.

Solve the Problem

Now we know our problem we find it out from our research. First problem was we did wrong prediction for 2007. If we go throw the research we can see we made prediction for 2007 sale depends on 2006 sale but for good assumption we should take previous few more years for our research then we can get a clear idea about the sale of the shop and make prediction. So now we have to collect last five years data and have to make a new research. Another problem was over all sale of 2007 was low than 2006. From the product wise analysis we can see in 2006 sealing product line was four but in 2007 tow line was completely off. We have to find out the reason why two lines had zero sales. For this we can check the supply chain management of the shop that we had stock of the product or not. We can make another survey on that area to find out the product demand and also can make another internal analysis on unit price and cost price is there any thing wrong.

17

From the product wise analysis we can see from the line graph of revenue of 2006 and 2007 we can see camping equipment and personal accessorise they star well even some time better than 2006 but suddenly stop. That means less quantity of sale for whole year. For this we can make another analysis like month wise product sale if we see in 2007which month is not common with 2006 then that month we can offer some special promotion on that product or find out another best fitted solution. The main problem is overall sale is low for 2007 so we have find out the cause for that and depend on that we can make further decision. And in my point of view that would be another scope for further research on this topic as said few before.

Conclusion: From this report we find out few problems and discuss about the solution. It’s about one shop may we can take it globally may it’s a problem for specific product or economic recession that decrease general peoples spending power or some unexpected problem occurs which make effect on the global revenue.

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List of reference:

Dr. Uma Mohan. (2010) System Analysis and Design-ii [online] Available From: STM student web

portal/MSc IT-2/SAD-2 [Accessed 29 Jan 2010]

Mark Tranmer and mark Elliot. (2010) Multiple Linear Regression. [Online] Available From:

http://www.ccsr.ac.uk/publications/teaching/mlr.pdf [Accessed 16 February 2010]

O.S.Khan (2010) RE: Beta_data. Personal E-mail to: MR I Uddoulla, 23 Feb 2010.

Social Research Methods. (2010) Research Method: Knowledge Base. [Online] Available From:

http://www.socialresearchmethods.net/kb/index.php [Accessed 20 Feb 2010]

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Appendix

Data 2006

Month Product line Unit cost Unit price Quantity Revenue Gross

profit

January Camping

Equipment 5.24 12.53 831 8,326.62 3,972.18

January Camping Equipment

0.85 3.66 1,182 4,243.38 3,238.68


15.93 23.80 642 14,971.44 4,744.38


15.62 35.09 117 4,023.63 2,196.09


41.18 73.50 342 23,881.86 9,798.30


150.00 265.14 246 61,962.48 25,062.48

January Golf Equipment 2.80 10.64 752 7,843.36 5,737.76



January Golf Equipment 610.00 1,359.72 49 63,294.77 33,404.77

January Outdoor Protection 1.85 5.00 784 3,920.00 2,469.60

January Personal Accessories

40.00 85.56 42 3,521.70 1,841.70


39.31 70.00 89 6,230.00 2,731.41


49.69 110.00 17 1,870.00 1,025.27


20.92 30.55 433 13,229.20 4,173.53


8.56 12.78 3,171 38,495.94 11,352.18


45.00 98.01 39 3,822.39 2,067.39

February Personal Accessories

50.60 110.00 81 8,910.00 4,811.40


39.51 65.00 22 1,430.00 560.78


30.39 50.30 27 1,358.10 537.57


20.68 30.70 349 10,714.30 3,496.98


67.08 120.30 76 9,142.80 4,044.72


105.56 196.00 101 19,612.00 8,970.68

March Camping Equipment

7.50 16.29 449 7,314.21 3,946.71

March Golf Equipment 221.00 461.00 229 103,517.55 52,908.55



March Outdoor Protection 2.83 6.00 37 222.00 117.29

March Outdoor Protection 14.04 35.00 49 1,715.00 1,027.04

March Personal Accessories

28.60 43.85 248 10,874.80 3,782.00


12.09 20.15 653 13,157.95 5,263.18


39.51 65.00 169 10,985.00 4,307.81


34.46 62.65 223 13,970.95 6,286.37


20.67 30.70 364 11,174.80 3,650.92

March Personal 8.56 12.78 2,793 33,907.02 9,998.94

20

Accessories


53.00 96.44 121 11,086.02 4,673.02


73.44 116.73 225 24,950.25 8,426.25


87.04 167.20 13 2,173.60 1,042.08


103.34 188.00 11 2,068.00 931.26

April Personal Accessories

24.32 40.50 171 6,925.50 2,766.78


39.27 70.00 95 6,650.00 2,919.35


44.61 87.00 72 6,264.00 3,052.08


34.39 62.65 110 6,891.50 3,108.60


20.52 30.70 475 14,582.50 4,835.50


152.36 260.00 27 7,020.00 2,906.28


103.58 188.00 37 6,956.00 3,123.54


60.02 104.60 10 1,046.00 445.80

May Personal Accessories

78.11 167.50 68 11,390.00 6,078.52


40.45 85.00 169 14,365.00 7,528.95


126.83 234.50 25 5,848.00 2,688.28

June Personal Accessories

28.55 43.85 260 11,401.00 3,978.00


22.89 40.50 338 13,689.00 5,952.18


39.33 65.00 28 1,820.00 718.76


44.59 87.00 126 10,962.00 5,343.66


34.44 62.65 538 33,705.70 15,176.98


20.76 30.40 363 11,035.20 3,499.32


235.99 358.00 31 11,098.00 3,782.31


120.94 229.60 99 22,730.40 10,757.34

July Personal Accessories

12.05 20.15 404 8,140.60 3,272.40


24.39 40.50 200 8,100.00 3,222.00


39.26 65.00 134 8,710.00 3,449.16


42.59 86.00 202 17,372.00 8,769.83


34.67 62.65 263 16,476.95 7,358.74


22.19 33.15 539 17,867.85 5,907.44

August Personal Accessories

18.78 40.70 189 7,692.30 4,142.88


90.24 145.00 51 7,395.00 2,792.76


138.12 249.00 30 7,470.00 3,326.40


29.00 47.30 32 1,513.60 585.60


42.22 73.00 101 7,373.00 3,108.78

September Personal Accessories

12.52 21.25 519 11,028.75 4,530.87


38.24 67.55 92 6,214.80 2,688.24


42.06 86.65 163 13,888.10 7,069.70


90.55 145.00 77 11,165.00 4,192.65

21


150.42 270.20 43 11,618.60 5,150.54


28.28 47.30 294 13,906.20 5,591.88


109.19 199.80 115 22,977.20 10,419.58

October Personal Accessories

24.80 38.30 61 2,336.30 823.50


28.12 43.85 225 9,866.25 3,539.25


24.81 42.88 434 18,606.75 7,837.66


23.11 34.42 626 20,929.10 6,966.86


126.74 236.07 122 28,787.20 13,336.52


71.16 136.90 65 8,898.50 4,273.10


106.21 200.00 93 18,600.00 8,726.70


41.88 73.00 127 9,271.00 3,952.24

November Personal Accessories

27.97 43.85 321 14,075.85 5,097.48


85.24 167.20 64 10,700.80 5,245.44


109.72 199.80 72 14,376.80 6,504.24

December Personal Accessories

36.30 67.50 44 2,970.00 1,372.80


17.97 26.80 541 14,498.80 4,777.03


25.35 45.63 279 12,730.77 5,658.12


21.87 33.15 349 11,569.35 3,936.72


4.72 12.90 290 3,741.00 2,372.20


138.34 249.00 49 12,201.00 5,422.34


85.04 167.20 17 2,842.40 1,396.72

Data 2007 Month Product line Unit cost Unit price Quantity Revenue Gross

profit

January Camping Equipment $46.38 $66.77 548 $34,759.64 $9,343.40

January Camping Equipment $6.60 $19.29 1,720 $19,900.40 $8,548.40




January Personal Accessories $94.12 $182.67 103 $17,874.62 $8,180.26




February Personal Accessories $4.76 $12.90 804 $10,371.60 $6,544.56



March Personal Accessories $24.77 $42.88 650 $27,868.75 $11,768.25




April Personal Accessories $4.99 $12.90 530 $6,837.00 $4,192.82



April Personal Accessories $28.20 $47.30 47 $2,223.10 $897.70

22

May Personal Accessories $20.15 $30.50 67 $2,043.50 $693.45

May Personal Accessories $12.38 $21.25 90 $1,912.50 $798.30

May Personal Accessories $33.55 $62.65 213 $13,344.45 $6,198.30

May Personal Accessories $23.71 $35.05 622 $21,730.70 $7,043.95

June Personal Accessories $24.58 $38.30 276 $10,570.80 $3,786.72




July Personal Accessories $78.85 $169.00 52 $8,788.00 $4,687.80

July Personal Accessories $17.96 $26.80 716 $19,188.80 $6,329.44

August Personal Accessories 18.78 40.70 189 7,692.30 4,142.88



September Personal Accessories 38.24 67.55 92 6,214.80 2,688.24




October Personal Accessories 24.80 38.30 61 2,336.30 823.50

October Personal Accessories 71.16 136.90 65 8,898.50 4,273.10



November Personal Accessories 27.97 43.85 321 14,075.85 5,097.48

November Personal Accessories 85.24 167.20 64 10,700.80 5,245.44

December Personal Accessories 17.97 26.80 541 14,498.80 4,777.03





Cusum of Data 2006 Gross profit Method 1 AVG AVG-Y Methid-2

y 3,972.18 3,972.18 6192.906 2,220.73 2,220.73 3,238.68 7,210.86 -3,238.68 -1,017.95 4,744.38 11,955.24 -4,744.38 -5,762.33 2,196.09 14,151.33 -2,196.09 -7,958.42 9,798.30 23,949.63 -9,798.30 -17,756.72 25,062.48 49,012.11 -25,062.48 -42,819.20 5,737.76 54,749.87 -5,737.76 -48,556.96 5,554.40 60,304.27 -5,554.40 -54,111.36 31,320.80 91,625.07 -31,320.80 -85,432.16 33,404.77 125,029.84 -33,404.77 -118,836.93 2,469.60 127,499.44 -2,469.60 -121,306.53 1,841.70 129,341.14 -1,841.70 -123,148.23 2,731.41 132,072.55 -2,731.41 -125,879.64 1,025.27 133,097.82 -1,025.27 -126,904.91 4,173.53 137,271.35 -4,173.53 -131,078.44 11,352.18 148,623.53 -11,352.18 -142,430.62 2,067.39 150,690.92 -2,067.39 -144,498.01 4,811.40 155,502.32 -4,811.40 -149,309.41 560.78 156,063.10 -560.78 -149,870.19 537.57 156,600.67 -537.57 -150,407.76

3,496.98 160,097.65 -3,496.98 -153,904.74 4,044.72 164,142.37 -4,044.72 -157,949.46 8,970.68 173,113.05 -8,970.68 -166,920.14 3,946.71 177,059.76 -3,946.71 -170,866.85

23

52,908.55 229,968.31 -52,908.55 -223,775.40 19,954.79 249,923.10 -19,954.79 -243,730.19 17,223.32 267,146.42 -17,223.32 -260,953.51

117.29 267,263.71 -117.29 -261,070.80 1,027.04 268,290.75 -1,027.04 -262,097.84 3,782.00 272,072.75 -3,782.00 -265,879.84 5,263.18 277,335.93 -5,263.18 -271,143.02 4,307.81 281,643.74 -4,307.81 -275,450.83 6,286.37 287,930.11 -6,286.37 -281,737.20 3,650.92 291,581.03 -3,650.92 -285,388.12 9,998.94 301,579.97 -9,998.94 -295,387.06 4,673.02 306,252.99 -4,673.02 -300,060.08 8,426.25 314,679.24 -8,426.25 -308,486.33 1,042.08 315,721.32 -1,042.08 -309,528.41 931.26 316,652.58 -931.26 -310,459.67

2,766.78 319,419.36 -2,766.78 -313,226.45 2,919.35 322,338.71 -2,919.35 -316,145.80 3,052.08 325,390.79 -3,052.08 -319,197.88 3,108.60 328,499.39 -3,108.60 -322,306.48 4,835.50 333,334.89 -4,835.50 -327,141.98 2,906.28 336,241.17 -2,906.28 -330,048.26 3,123.54 339,364.71 -3,123.54 -333,171.80 445.80 339,810.51 -445.80 -333,617.60

6,078.52 345,889.03 -6,078.52 -339,696.12 7,528.95 353,417.98 -7,528.95 -347,225.07 2,688.28 356,106.26 -2,688.28 -349,913.35 3,978.00 360,084.26 -3,978.00 -353,891.35 5,952.18 366,036.44 -5,952.18 -359,843.53 718.76 366,755.20 -718.76 -360,562.29

5,343.66 372,098.86 -5,343.66 -365,905.95 15,176.98 387,275.84 -15,176.98 -381,082.93 3,499.32 390,775.16 -3,499.32 -384,582.25 3,782.31 394,557.47 -3,782.31 -388,364.56 10,757.34 405,314.81 -10,757.34 -399,121.90 3,272.40 408,587.21 -3,272.40 -402,394.30 3,222.00 411,809.21 -3,222.00 -405,616.30 3,449.16 415,258.37 -3,449.16 -409,065.46 8,769.83 424,028.20 -8,769.83 -417,835.29 7,358.74 431,386.94 -7,358.74 -425,194.03 5,907.44 437,294.38 -5,907.44 -431,101.47 4,142.88 441,437.26 -4,142.88 -435,244.35 2,792.76 444,230.02 -2,792.76 -438,037.11 3,326.40 447,556.42 -3,326.40 -441,363.51 585.60 448,142.02 -585.60 -441,949.11

3,108.78 451,250.80 -3,108.78 -445,057.89 4,530.87 455,781.67 -4,530.87 -449,588.76 2,688.24 458,469.91 -2,688.24 -452,277.00 7,069.70 465,539.61 -7,069.70 -459,346.70 4,192.65 469,732.26 -4,192.65 -463,539.35 5,150.54 474,882.80 -5,150.54 -468,689.89 5,591.88 480,474.68 -5,591.88 -474,281.77 10,419.58 490,894.26 -10,419.58 -484,701.35

823.50 491,717.76 -823.50 -485,524.85 3,539.25 495,257.01 -3,539.25 -489,064.10 7,837.66 503,094.67 -7,837.66 -496,901.76 6,966.86 510,061.53 -6,966.86 -503,868.62 13,336.52 523,398.05 -13,336.52 -517,205.14 4,273.10 527,671.15 -4,273.10 -521,478.24

24

8,726.70 536,397.85 -8,726.70 -530,204.94 3,952.24 540,350.09 -3,952.24 -534,157.18 5,097.48 545,447.57 -5,097.48 -539,254.66 5,245.44 550,693.01 -5,245.44 -544,500.10 6,504.24 557,197.25 -6,504.24 -551,004.34 1,372.80 558,570.05 -1,372.80 -552,377.14 4,777.03 563,347.08 -4,777.03 -557,154.17 5,658.12 569,005.20 -5,658.12 -562,812.29 3,936.72 572,941.92 -3,936.72 -566,749.01 2,372.20 575,314.12 -2,372.20 -569,121.21 5,422.34 580,736.46 -5,422.34 -574,543.55 1,396.72 582,133.18 -1,396.72 -575,940.27

Model Test 2006

Revenue Gross profit

Method -1 Residual-1

X4 y Predict value Y-M1

8,326.62 3,972.18 3463.26 508.92 4,243.38 3,238.68 1518.41 1,720.27 14,971.44 4,744.38

6628.19 -

1,883.81 4,023.63 2,196.09 1413.74 782.35 23,881.86 9,798.30

10872.22 -

1,073.92 61,962.48 25,062.48

29010.02 -

3,947.54 7,843.36 5,737.76 3233.08 2,504.68 10,642.40 5,554.40 4566.27 988.13 64,797.60 31,320.80 30360.39 960.41 63,294.77 33,404.77 29644.59 3,760.18 3,920.00 2,469.60 1364.39 1,105.21 3,521.70 1,841.70 1174.68 667.02 6,230.00 2,731.41 2464.64 266.77 1,870.00 1,025.27 387.97 637.30 13,229.20 4,173.53

5798.36 -

1,624.83 38,495.94 11,352.18

17832.91 -

6,480.73 3,822.39 2,067.39 1317.89 749.50 8,910.00 4,811.40 3741.12 1,070.28 1,430.00 560.78 178.40 382.38 1,358.10 537.57 144.15 393.42 10,714.30 3,496.98

4600.51 -

1,103.53 9,142.80 4,044.72 3852.01 192.71 19,612.00 8,970.68 8838.49 132.19 7,314.21 3,946.71 2981.05 965.66

103,517.55 52,908.55 48802.70 4,105.85 39,694.79 19,954.79 18403.92 1,550.87 28,185.72 17,223.32 12922.15 4,301.17

222.00 117.29 -396.97 514.26 1,715.00 1,027.04 314.14 712.90 10,874.80 3,782.00 4676.96 -894.96 13,157.95 5,263.18 5764.42 -501.24 10,985.00 4,307.81 4729.45 -421.64 13,970.95 6,286.37 6151.65 134.72 11,174.80 3,650.92 4819.85 -

25

1,168.93

33,907.02 9,998.94

15647.20 -

5,648.26 11,086.02 4,673.02 4777.56 -104.54 24,950.25 8,426.25

11381.09 -

2,954.84 2,173.60 1,042.08 532.58 509.50 2,068.00 931.26 482.28 448.98 6,925.50 2,766.78 2795.91 -29.13 6,650.00 2,919.35 2664.69 254.67 6,264.00 3,052.08 2480.83 571.25 6,891.50 3,108.60 2779.71 328.89 14,582.50 4,835.50

6442.93 -

1,607.43 7,020.00 2,906.28 2840.92 65.36 6,956.00 3,123.54 2810.43 313.11 1,046.00 445.80 -4.50 450.30 11,390.00 6,078.52 4922.35 1,156.17 14,365.00 7,528.95 6339.34 1,189.61 5,848.00 2,688.28 2282.69 405.59 11,401.00 3,978.00 4927.59 -949.59 13,689.00 5,952.18 6017.36 -65.18 1,820.00 718.76 364.16 354.60 10,962.00 5,343.66 4718.49 625.17 33,705.70 15,176.98 15551.31 -374.33 11,035.20 3,499.32

4753.36 -

1,254.04 11,098.00 3,782.31

4783.27 -

1,000.96 22,730.40 10,757.34 10323.78 433.56 8,140.60 3,272.40 3374.66 -102.26 8,100.00 3,222.00 3355.32 -133.32 8,710.00 3,449.16 3645.86 -196.70 17,372.00 8,769.83 7771.57 998.26 16,476.95 7,358.74 7345.26 13.48 17,867.85 5,907.44

8007.75 -

2,100.31 7,692.30 4,142.88 3161.13 981.75 7,395.00 2,792.76 3019.53 -226.77 7,470.00 3,326.40 3055.25 271.15 1,513.60 585.60 218.22 367.38 7,373.00 3,108.78 3009.05 99.73 11,028.75 4,530.87 4750.28 -219.41 6,214.80 2,688.24 2457.40 230.84 13,888.10 7,069.70 6112.19 957.51 11,165.00 4,192.65 4815.18 -622.53 11,618.60 5,150.54 5031.23 119.31 13,906.20 5,591.88 6120.81 -528.93 22,977.20 10,419.58 10441.33 -21.75 2,336.30 823.50 610.07 213.43 9,866.25 3,539.25 4196.58 -657.33 18,606.75 7,837.66 8359.69 -522.03 20,929.10 6,966.86

9465.82 -

2,498.96 28,787.20 13,336.52 13208.63 127.89 8,898.50 4,273.10 3735.65 537.45 18,600.00 8,726.70 8356.47 370.23

26

9,271.00 3,952.24 3913.07 39.17 14,075.85 5,097.48

6201.62 -

1,104.14 10,700.80 5,245.44 4594.08 651.36 14,376.80 6,504.24 6344.96 159.28 2,970.00 1,372.80 911.90 460.90 14,498.80 4,777.03

6403.07 -

1,626.04 12,730.77 5,658.12 5560.96 97.16 11,569.35 3,936.72

5007.77 -

1,071.05 3,741.00 2,372.20 1279.13 1,093.07 12,201.00 5,422.34 5308.63 113.71 2,842.40 1,396.72 851.13 545.59

Cusum calculation of data 2007 Gross profit Method 1 AVG AVG-Y Method-2

y 9343.400 9343.400 5384.314 -3959.086 -3959.086 8548.400 17891.800 -8548.400 -12507.486 2367.750 20259.550 -2367.750 -14875.236 2345.300 22604.850 -2345.300 -17220.536 28075.980 50680.830 -28075.980 -45296.516 8180.260 58861.090 -8180.260 -53476.776 2253.560 61114.650 -2253.560 -55730.336 3021.050 64135.700 -3021.050 -58751.386 4266.000 68401.700 -4266.000 -63017.386 6544.560 74946.260 -6544.560 -69561.946 4862.340 79808.600 -4862.340 -74424.286 4281.840 84090.440 -4281.840 -78706.126 11768.250 95858.690 -11768.250 -90474.376 15568.400 111427.090 -15568.400 -106042.776 6963.840 118390.930 -6963.840 -113006.616 5498.240 123889.170 -5498.240 -118504.856 4192.820 128081.990 -4192.820 -122697.676 1422.000 129503.990 -1422.000 -124119.676 2641.920 132145.910 -2641.920 -126761.596 897.700 133043.610 -897.700 -127659.296 693.450 133737.060 -693.450 -128352.746 798.300 134535.360 -798.300 -129151.046 6198.300 140733.660 -6198.300 -135349.346 7043.950 147777.610 -7043.950 -142393.296 3786.720 151564.330 -3786.720 -146180.016 4706.520 156270.850 -4706.520 -150886.536 4621.860 160892.710 -4621.860 -155508.396 4464.060 165356.770 -4464.060 -159972.456 4687.800 170044.570 -4687.800 -164660.256 6329.440 176374.010 -6329.440 -170989.696 4142.880 180516.890 -4142.880 -175132.576 2792.760 183309.650 -2792.760 -177925.336 3108.780 186418.430 -3108.780 -181034.116 2688.240 189106.670 -2688.240 -183722.356 7069.700 196176.370 -7069.700 -190792.056 5591.880 201768.250 -5591.880 -196383.936 10419.580 212187.830 -10419.580 -206803.516 823.500 213011.330 -823.500 -207627.016 4273.100 217284.430 -4273.100 -211900.116

27

8726.700 226011.130 -8726.700 -220626.816 3952.240 229963.370 -3952.240 -224579.056 5097.480 235060.850 -5097.480 -229676.536 5245.440 240306.290 -5245.440 -234921.976 4777.030 245083.320 -4777.030 -239699.006 5658.120 250741.440 -5658.120 -245357.126 3936.720 254678.160 -3936.720 -249293.846 2372.200 257050.360 -2372.200 -251666.046 1396.720 258447.080 -1396.720 -253062.766

Model Test 2007 Revenue Gross

profit Method-1 Residual X4 Y Predict

Value Y-M1 34759.64 9343.40

13800.76 -

4457.36 19900.40 8548.40 8096.29 452.11 6467.75 2367.75 2939.50 -571.75 5192.56 2345.30 2449.95 -104.65

71168.64 28075.98 27778.17 297.81 17874.62 8180.26 7318.60 861.66 4744.56 2253.56 2277.97 -24.41 8695.00 3021.05 3794.54 -773.49

10642.50 4266.00 4542.19 -276.19 10371.60 6544.56 4438.19 2106.37 10859.00 4862.34 4625.30 237.04 10784.40 4281.84 4596.66 -314.82 27868.75 11768.25 11155.34 612.91 30273.70 15568.40 12078.60 3489.80 17595.60 6963.84 7211.48 -247.64 12848.00 5498.24 5388.88 109.36 6837.00 4192.82 3081.25 1111.57 3081.80 1422.00 1639.63 -217.63 5350.40 2641.92 2510.55 131.37 2223.10 897.70 1309.98 -412.28 2043.50 693.45 1241.03 -547.58 1912.50 798.30 1190.74 -392.44

13344.45 6198.30 5579.46 618.84 21730.70 7043.95

8798.95 -

1755.00 10570.80 3786.72 4514.66 -727.94 10537.80 4706.52 4501.99 204.53 11493.90 4621.86 4869.04 -247.18 10293.00 4464.06 4408.01 56.05 8788.00 4687.80 3830.24 857.56

19188.80 6329.44

7823.11 -

1493.67 7692.30 4142.88 3409.60 733.28 7395.00 2792.76 3295.47 -502.71 7373.00 3108.78 3287.02 -178.24

28

6214.80 2688.24 2842.39 -154.15 13888.10 7069.70 5788.17 1281.53 13906.20 5591.88 5795.12 -203.24 22977.20 10419.58 9277.48 1142.10 2336.30 823.50 1353.44 -529.94 8898.50 4273.10 3872.66 400.44

18600.00 8726.70 7597.07 1129.63 9271.00 3952.24 4015.67 -63.43

14075.85 5097.48 5860.25 -762.77 10700.80 5245.44 4564.57 680.87 14498.80 4777.03

6022.62 -

1245.59 12730.77 5658.12 5343.87 314.25 11569.35 3936.72 4898.00 -961.28 3741.00 2372.20 1892.70 479.50 2842.40 1396.72 1547.73 -151.01

Prediction Test 2006-2007

Final Method-07

Final Method-

06

13800.76 8,096.99

8096.294 8,387.18

2939.499 6,962.08

2449.954 7,033.64

27778.17 13,908.92

7318.597 31,029.58

2277.967 11,745.59

3794.541 10,194.39

4542.186 50,264.97

4438.187 66,285.36

4625.3 7,047.68

4596.661 7,602.76

11155.34 8,102.01

12078.6 7,157.34

7211.481 6,872.52

5388.877 8,647.18

3081.254 8,118.15

1639.633 11,420.45

2510.549 6,070.53

1309.978 5,658.16

1241.03 6,705.49

1190.739 10,544.48

5579.464 17,060.53

8798.946 8,627.11

4514.66 69,818.75

4501.991 42,744.82

4869.038 26,081.77

4408.013 4,149.02

3830.243 5,718.99

7823.11 7,545.56

3409.604 8,687.90

3295.471 9,013.55

3287.025 11,310.80

2842.392 6,793.55

29

5788.172 8,126.40

5795.12 10,260.91

9277.477 12,095.87

1353.436 8,693.64

3872.664 9,252.74

7597.07 7,198.52

4015.667 8,275.91

5860.249 8,936.27

4564.567 8,323.82

6022.619 7,532.37

5343.873 13,014.65

4898.003 11,320.75

1892.7 6,905.33

1547.727 13,944.14

13,835.91

11,973.18

7,684.51

10,278.72

6,192.03

11,280.80

19,691.39

6,562.03

16,596.20

19,799.01

7,094.17

7,552.93

8,367.74

14,985.89

12,272.08

8,185.39

9,317.06

9,924.35

12,982.53

5,621.27

8,444.72

8,255.16

7,977.97

13,217.82

10,943.47

15,190.76

9,696.42

18,520.46

5,527.10

7,517.22

11,793.36

8,887.13

22,335.02

11,268.83

17,074.92

9,211.19

8,621.40

12,951.82

14,811.78

6,798.93

7,342.82

10,251.72

7,228.46

30

7,054.99

14,931.67

8,987.67

Camping Equipment

Calculation of Golf Equipment

Year Month Product line Unit cost

Unit price

Quantity Revenue Gross profit

Correlation

Method-1 Residual

2006 January Golf Equipment

2.80 10.64 752 7,843.36 5,737.76 1.00 5225.67 512.09

2006 January Golf Equipment

6.00 12.81 848 10,642.40 5,554.40

6603.92

-1,049.5

2 2006 January Golf

Equipment 341.60 696.00 98 64,797.60 31,320.8

0

33269.9

4

-1,949.1

4 2006 January Golf

Equipment 610.00 1,359.7

2 49 63,294.77 33,404.7

7

32529.94 874.83

2006 March Golf Equipment

221.00 461.00 229 103,517.55

52,908.55

52335.6

4 572.91 2006 March Golf

Equipment 420.00 889.02 47 39,694.79 19,954.7

9

20909.31 -954.52

2006 March Golf Equipment

28.40 76.86 386 28,185.72 17,223.32

15242.2

5 1,981.0

7

2007 whole year

Golf Equipment

0.00 0.00 0 0.00 0.00 0 0

2007 whole year

Golf Equipment

0.00 0.00 0 0.00 0.00 0 0

2007 whole year

Golf Equipment

0.00 0.00 0 0.00 0.00 0 0

Year Month Product line Unit cost

Unit price


Correlation Method-1 Residual

2006 January Camp

Equipment 5.24 12.53 831 8,326.62 3,972.18

0.995 3874.73 97.45

2006 January Camp

Equipment 0.85 3.66 1,182 4,243.38 3,238.68

2286.76 951.92

2006

January Camp Equipment

15.93 23.80 642 14,971.44 4,744.38

6458.90 -

1,714.52

2006 January Camp

Equipment 15.62 35.09 117 4,023.63 2,196.09

2201.30 -5.21

2006 January Camp

Equipment 41.18 73.50 342 23,881.86 9,798.30

9924.17 -125.87

2006 January Camp

Equipment 150.00 265.14 246 61,962.48 25,062.48

24733.72 328.76

2006 March Camp

Equipment 7.50 16.29 449 7,314.21 3,946.71

3481.01 465.70

Camp

Equipment

2007 January Camp

Equipment 46.38 66.77 548 34759.64 9343.40

0.981 12901.65 -

3558.25 2007 January Camp

Equipment 6.60 19.29 1720 19900.40 8548.40

7240.28 1308.12 2007 January Camp

Equipment 20.00 31.55 205 6467.75 2367.75

2122.44 245.31 2007 January Camp

Equipment 30.29 55.24 94 5192.56 2345.30

1636.60 708.70 2007 January Camp

Equipment 213.33 370.86 202 71168.64 28075.98

26773.48 1302.50

31

Calculation of Outdoor Protection

Year Month Product line Unit

cost Unit price


Correlation Method-1 Residual

2006 January Outdoor Protection

1.85 5.00 784 3,920.00 2,469.60 1.00 2459.08 10.52

2006 March Outdoor Protection

2.83 6.00 37 222.00 117.29 101.61 15.68

2006 March Outdoor Protection

14.04 35.00 49 1,715.00 1,027.04 1053.40 -26.36

2007 whole

year Outdoor

Protection 0.00 0.00 0 0.00 0.00

0 0 2007 whole

year Outdoor

Protection 0.00 0.00 0 0.00 0.00

0 0 2007 whole

year Outdoor

Protection 0.00 0.00 0 0.00 0.00

0 0

Calculation of Personal Accessories 2006 January Personal

Accessories 40.00 85.56 42 3,521.70 1,841.70

0.95 1774.53 67.17 2006 January Personal

Accessories 39.31 70.00 89 6,230.00 2,731.41

2777.41 -46.00 2006 January Personal

Accessories 49.69 110.00 17 1,870.00 1,025.27


Accessories 20.92 30.55 433 13,229.20 4,173.53

5369.21 -

1,195.68 2006 January Personal

Accessories 8.56 12.78 3,171 38,495.94 11,352.18

14725.49 -

3,373.31 2006 January Personal

Accessories 45.00 98.01 39 3,822.39 2,067.39

1885.87 181.52 2006 February Personal

Accessories 50.60 110.00 81 8,910.00 4,811.40

3769.81 1,041.59 2006 February Personal

Accessories 39.51 65.00 22 1,430.00 560.78

999.97 -439.19 2006 February Personal

Accessories 30.39 50.30 27 1,358.10 537.57


Accessories 20.68 30.70 349 10,714.30 3,496.98


Accessories 67.08 120.30 76 9,142.80 4,044.72


Accessories 105.56 196.00 101 19,612.00 8,970.68

7732.76 1,237.92 2006 March Personal

Accessories 28.60 43.85 248 10,874.80 3,782.00

4497.38 -715.38 2006 March Personal

Accessories 12.09 20.15 653 13,157.95 5,263.18

5342.83 -79.65 2006 March Personal

Accessories 39.51 65.00 169 10,985.00 4,307.81

4538.19 -230.38 2006 March Personal

Accessories 34.46 62.65 223 13,970.95 6,286.37

5643.88 642.49 2006 March Personal

Accessories 20.67 30.70 364 11,174.80 3,650.92

4608.47 -957.55 2006 March Personal

Accessories 8.56 12.78 2,793 33,907.02 9,998.94

13026.21 -

3,027.27 2006 March Personal

Accessories 53.00 96.44 121 11,086.02 4,673.02

4575.59 97.43 2006 March Personal

Accessories 73.44 116.73 225 24,950.25 8,426.25

9709.52 -

1,283.27 2006 March Personal

Accessories 87.04 167.20 13 2,173.60 1,042.08

1275.32 -233.24 2006 March Personal

Accessories 103.34 188.00 11 2,068.00 931.26

1236.22 -304.96

32

2006 April Personal Accessories

24.32 40.50 171 6,925.50 2,766.78 3034.95 -268.17


39.27 70.00 95 6,650.00 2,919.35 2932.94 -13.59


44.61 87.00 72 6,264.00 3,052.08 2790.00 262.08


34.39 62.65 110 6,891.50 3,108.60 3022.36 86.24


20.52 30.70 475 14,582.50 4,835.50

5870.34 -

1,034.84 2006 April Personal

Accessories 152.36 260.00 27 7,020.00 2,906.28

3069.95 -163.67 2006 April Personal

Accessories 103.58 188.00 37 6,956.00 3,123.54

3046.25 77.29 2006 April Personal

Accessories 60.02 104.60 10 1,046.00 445.80

857.77 -411.97 2006 May Personal

Accessories 78.11 167.50 68 11,390.00 6,078.52

4688.16 1,390.36 2006 May Personal

Accessories 40.45 85.00 169 14,365.00 7,528.95

5789.80 1,739.15 2006 May Personal

Accessories 126.83 234.50 25 5,848.00 2,688.28

2635.95 52.33 2006 June Personal

Accessories 28.55 43.85 260 11,401.00 3,978.00

4692.23 -714.23 2006 June Personal

Accessories 22.89 40.50 338 13,689.00 5,952.18

5539.48 412.70 2006 June Personal

Accessories 39.33 65.00 28 1,820.00 718.76

1144.39 -425.63 2006 June Personal

Accessories 44.59 87.00 126 10,962.00 5,343.66

4529.67 813.99 2006 June Personal

Accessories 34.44 62.65 538 33,705.70 15,176.98

12951.66 2,225.32 2006 June Personal

Accessories 20.76 30.40 363 11,035.20 3,499.32

4556.77 -

1,057.45 2006 June Personal

Accessories 235.99 358.00 31 11,098.00 3,782.31

4580.03 -797.72 2006 June Personal

Accessories 120.94 229.60 99 22,730.40 10,757.34

8887.51 1,869.83 2006 July Personal

Accessories 12.05 20.15 404 8,140.60 3,272.40

3484.90 -212.50 2006 July Personal

Accessories 24.39 40.50 200 8,100.00 3,222.00

3469.87 -247.87 2006 July Personal

Accessories 39.26 65.00 134 8,710.00 3,449.16

3695.75 -246.59 2006 July Personal

Accessories 42.59 86.00 202 17,372.00 8,769.83

6903.29 1,866.54 2006 July Personal

Accessories 34.67 62.65 263 16,476.95 7,358.74

6571.85 786.89 2006 July Personal

Accessories 22.19 33.15 539 17,867.85 5,907.44

7086.90 -

1,179.46 2006 August Personal

Accessories 18.78 40.70 189 7,692.30 4,142.88

3318.90 823.98 2006 August Personal

Accessories 90.24 145.00 51 7,395.00 2,792.76

3208.81 -416.05 2006 August Personal

Accessories 138.12 249.00 30 7,470.00 3,326.40


Accessories 29.00 47.30 32 1,513.60 585.60

1030.93 -445.33 2006 August Personal

Accessories 42.22 73.00 101 7,373.00 3,108.78

3200.66 -91.88 2006 September Personal

Accessories 12.52 21.25 519 11,028.75 4,530.87


Accessories 38.24 67.55 92 6,214.80 2,688.24


Accessories 42.06 86.65 163 13,888.10 7,069.70

5613.20 1,456.50 2006 September Personal

Accessories 90.55 145.00 77 11,165.00 4,192.65


Accessories 150.42 270.20 43 11,618.60 5,150.54

4772.81 377.73 2006 September Personal

Accessories 28.28 47.30 294 13,906.20 5,591.88


Accessories 109.19 199.80 115 22,977.20 10,419.58

8978.90 1,440.68

33

2006 October Personal Accessories

24.80 38.30 61 2,336.30 823.50 1335.57 -512.07


28.12 43.85 225 9,866.25 3,539.25 4123.91 -584.66


24.81 42.88 434 18,606.75 7,837.66 7360.52 477.14


23.11 34.42 626 20,929.10 6,966.86

8220.49 -

1,253.63 2006 October Personal

Accessories 126.74 236.07 122 28,787.20 13,336.52

11130.34 2,206.18 2006 October Personal

Accessories 71.16 136.90 65 8,898.50 4,273.10

3765.55 507.55 2006 October Personal

Accessories 106.21 200.00 93 18,600.00 8,726.70

7358.02 1,368.68 2006 October Personal

Accessories 41.88 73.00 127 9,271.00 3,952.24

3903.49 48.75 2006 November Personal

Accessories 27.97 43.85 321 14,075.85 5,097.48

5682.73 -585.25 2006 November Personal

Accessories 85.24 167.20 64 10,700.80 5,245.44

4432.95 812.49 2006 November Personal

Accessories 109.72 199.80 72 14,376.80 6,504.24

5794.17 710.07 2006 December Personal

Accessories 36.30 67.50 44 2,970.00 1,372.80

1570.23 -197.43 2006 December Personal

Accessories 17.97 26.80 541 14,498.80 4,777.03

5839.35 -

1,062.32 2006 December Personal

Accessories 25.35 45.63 279 12,730.77 5,658.12


Accessories 21.87 33.15 349 11,569.35 3,936.72

4754.57 -817.85 2006 December Personal

Accessories 4.72 12.90 290 3,741.00 2,372.20


Accessories 138.34 249.00 49 12,201.00 5,422.34


Accessories 85.04 167.20 17 2,842.40 1,396.72

1522.98 -126.26

2007 January Personal

Accessories 94 182.67 103.00 17874.62 8180.26

0.954 7712.82 467.44 2007 January Personal

Accessories 47 92.29 53.00 4744.56 2253.56

2102.35 151.21 2007 January Personal

Accessories 153 235.00 37.00 8695.00 3021.05


Accessories 28 47.30 225.00 10642.50 4266.00


Accessories 5 12.90 804.00 10371.60 6544.56


Accessories 129 239.30 44.00 10859.00 4862.34


Accessories 29 47.30 228.00 10784.40 4281.84

4683.17 -401.33 2007 March Personal

Accessories 25 42.88 650.00 27868.75 11768.25

11983.31 -215.06 2007 March Personal

Accessories 42 85.77 351.00 30273.70 15568.40

13010.95 2557.45 2007 March Personal

Accessories 29 47.30 372.00 17595.60 6963.84

7593.60 -629.76 2007 March Personal

Accessories 42 73.00 176.00 12848.00 5498.24

5564.95 -66.71 2007 April Personal

Accessories 5 12.90 530.00 6837.00 4192.82

2996.45 1196.37 2007 April Personal

Accessories 130 239.30 13.00 3081.80 1422.00

1391.85 30.15 2007 April Personal

Accessories 85 167.20 32.00 5350.40 2641.92

2361.22 280.70 2007 April Personal

Accessories 28 47.30 47.00 2223.10 897.70

1024.93 -127.23 2007 May Personal

Accessories 20 30.50 67.00 2043.50 693.45

948.18 -254.73 2007 May Personal

Accessories 12 21.25 90.00 1912.50 798.30

892.21 -93.91 2007 May Personal

Accessories 34 62.65 213.00 13344.45 6198.30

5777.08 421.22 2007 May Personal

Accessories 24 35.05 622.00 21730.70 7043.95

9360.53 -

34

2316.58 2007 June Personal

Accessories 25 38.30 276.00 10570.80 3786.72

4591.90 -805.18 2007 June Personal

Accessories 150 270.20 39.00 10537.80 4706.52

4577.80 128.72 2007 June Personal

Accessories 28 47.30 243.00 11493.90 4621.86

4986.34 -364.48 2007 June Personal

Accessories 41 73.00 141.00 10293.00 4464.06

4473.20 -9.14 2007 July Personal

Accessories 79 169.00 52.00 8788.00 4687.80

3830.11 857.69 2007 July Personal

Accessories 18 26.80 716.00 19188.80 6329.44

8274.37 -

1944.93 2007 August Personal

Accessories 19 40.70 189.00 7692.30 4142.88


Accessories 90 145.00 51.00 7395.00 2792.76

3234.88 -442.12 2007 August Personal

Accessories 42 73.00 101.00 7373.00 3108.78


Accessories 38 67.55 92.00 6214.80 2688.24


Accessories 42 86.65 163.00 13888.10 7069.70

6009.38 1060.32 2007 September Personal

Accessories 28 47.30 294.00 13906.20 5591.88


Accessories 109 199.80 115.00 22977.20 10419.58


Accessories 25 38.30 61.00 2336.30 823.50

1073.30 -249.80 2007 October Personal

Accessories 71 136.90 65.00 8898.50 4273.10


Accessories 106 200.00 93.00 18600.00 8726.70


Accessories 42 73.00 127.00 9271.00 3952.24


Accessories 28 43.85 321.00 14075.85 5097.48


Accessories 85 167.20 64.00 10700.80 5245.44


Accessories 18 26.80 541.00 14498.80 4777.03

6270.33 -

1493.30 2007 December Personal

Accessories 25 45.63 279.00 12730.77 5658.12


Accessories 22 33.15 349.00 11569.35 3936.72

5018.58 -

1081.86 2007 December Personal

Accessories 5 12.90 290.00 3741.00 2372.20


Accessories 85 167.20 17.00 2842.40 1396.72

1289.55 107.17

Data for Camping Equipment Product line Revenue-2006 Revenue-2007

Camping Equipment 8,326.62 34,759.64

4,243.38 34,759.64

14,971.44 19,900.40

4,023.63 6,467.75

23,881.86 5,192.56

61,962.48 71,168.64

7,314.21

Data of Golf Equipment Product line Revenue-2006 Revenue-2007

Golf Equipment 7,843.36

10,642.40 0.00

64,797.60 0.00

35

63,294.77 0.00

103,517.55

39,694.79

28,185.72


Product line Revenue-2006 Revenue-2007

Outdoor Protection 3,920.00 0.00

222.00 0.00

1,715.00 0.00


Product line Revenue-2006 Revenue-2007

Personal Accessories 3,521.70 17874.62

6,230.00 4744.56

1,870.00 8695.00

13,229.20 10642.50

38,495.94 10371.60

3,822.39 10859.00

8,910.00 10784.40

1,430.00 27868.75

1,358.10 30273.70

10,714.30 17595.60

9,142.80 12848.00

19,612.00 6837.00

10,874.80 3081.80

13,157.95 5350.40

10,985.00 2223.10

13,970.95 2043.50

11,174.80 1912.50

33,907.02 13344.45

11,086.02 21730.70

24,950.25 10570.80

2,173.60 10537.80

2,068.00 11493.90

6,925.50 10293.00

6,650.00 8788.00

6,264.00 19188.80

6,891.50 7692.30

14,582.50 7395.00

7,020.00 7373.00

6,956.00 6214.80

1,046.00 13888.10

11,390.00 13906.20

14,365.00 22977.20

5,848.00 2336.30

11,401.00 8898.50

13,689.00 18600.00

1,820.00 9271.00

10,962.00 14075.85

33,705.70 10700.80

11,035.20 14498.80

11,098.00 12730.77

22,730.40 11569.35

8,140.60 3741.00

8,100.00 2842.40

8,710.00

36

17,372.00

16,476.95

17,867.85

7,692.30

7,395.00

7,470.00

1,513.60

7,373.00

11,028.75

6,214.80

13,888.10

11,165.00

11,618.60

13,906.20

22,977.20

2,336.30

9,866.25

18,606.75

20,929.10

28,787.20

8,898.50

18,600.00

9,271.00

14,075.85

10,700.80

14,376.80

2,970.00

14,498.80

12,730.77

11,569.35

3,741.00

12,201.00

2,842.40

Data of Camping Equipment Year Product line Actual amount Target Amount

2007 Camping

Equipment 9343.40

12901.65

8548.40 7240.28

2367.75 2122.44

2345.30 1636.6

28075.98 26773.48


Year Product line Actual amount Target Amount

2007 Personal

Accessories 8180.26

7712.82

2253.56 2102.35

3021.05 3790.37

4266.00 4622.54

6544.56 4506.78

4862.34 4715.05

4281.84 4683.17

11768.25 11983.31

15568.40 13010.95

6963.84 7593.6

5498.24 5564.95

4192.82 2996.45

37

1422.00 1391.85

2641.92 2361.22

897.70 1024.93

693.45 948.18

798.30 892.21

6198.30 5777.08

7043.95 9360.53

3786.72 4591.9

4706.52 4577.8

4621.86 4986.34

4464.06 4473.2

4687.80 3830.11

6329.44 8274.37

4142.88 3361.92

2792.76 3234.88

3108.78 3225.48

2688.24 2730.58

7069.70 6009.38

5591.88 6017.12

10419.58 9893.15

823.50 1073.3

4273.10 3877.33

8726.70 8022.78

3952.24 4036.5

5097.48 6089.61

5245.44 4647.45

4777.03 6270.33

5658.12 5514.86

3936.72 5018.58

2372.20 1673.53

1396.72 1289.55

Data of camping Equipment

Revenue-2006 Revenue-2007

8,326.62 34,759.64

4,243.38 34,759.64

14,971.44 19,900.40

4,023.63 6,467.75

23,881.86 5,192.56

61,962.48 71,168.64

7,314.21


Revenue-2006 Revenue-2007

7,843.36 10,642.40 0.00

64,797.60 0.00

63,294.77 0.00

103,517.55 39,694.79 28,185.72

38

Data of Outdoor Protection Revenue-2006 Revenue-2007

3,920.00 0.00

222.00 0.00

1,715.00 0.00

Data of Personal Accessories Revenue-2006 Revenue-2007

3,521.70 17874.62

6,230.00 4744.56

1,870.00 8695.00

13,229.20 10642.50

38,495.94 10371.60

3,822.39 10859.00

8,910.00 10784.40

1,430.00 27868.75

1,358.10 30273.70

10,714.30 17595.60

9,142.80 12848.00

19,612.00 6837.00

10,874.80 3081.80

13,157.95 5350.40

10,985.00 2223.10

13,970.95 2043.50

11,174.80 1912.50

33,907.02 13344.45

11,086.02 21730.70

24,950.25 10570.80

2,173.60 10537.80

2,068.00 11493.90

6,925.50 10293.00

6,650.00 8788.00

6,264.00 19188.80

6,891.50 7692.30

14,582.50 7395.00

7,020.00 7373.00

6,956.00 6214.80

1,046.00 13888.10

11,390.00 13906.20

14,365.00 22977.20

5,848.00 2336.30

11,401.00 8898.50

13,689.00 18600.00

1,820.00 9271.00

10,962.00 14075.85

33,705.70 10700.80

11,035.20 14498.80

11,098.00 12730.77

22,730.40 11569.35

8,140.60 3741.00

8,100.00 2842.40

8,710.00 17,372.00 16,476.95 17,867.85 7,692.30 7,395.00

39

7,470.00 1,513.60 7,373.00 11,028.75 6,214.80 13,888.10 11,165.00 11,618.60 13,906.20 22,977.20 2,336.30 9,866.25 18,606.75 20,929.10 28,787.20 8,898.50 18,600.00 9,271.00 14,075.85 10,700.80 14,376.80 2,970.00 14,498.80 12,730.77 11,569.35 3,741.00 12,201.00 2,842.40

Documents

System Analysis and Design