Assignment of QT

8/12/2019 Assignment of QT

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Ms. Sofia Waleed Superior University

Correlation

Two variables are said to be correlated if they tend to simultaneously vary in some

direction. If both variables are increase (decrease) together the correlation is said to be

direct or positive. If one variable is tends to increase as other variable decreases thecorrelation is said to be negative.

There are two methods to calculate the correlation between the variables.

1 Pearson correlation

2 Spearman correlation

Assumption for the Pearson Correlation:

I. The relationship between two variables is linear.II. Source on one variable are normally distributed for each value of the other variable

and vice versa

III. !utlier can have big effect on correlation

Assumption for Spearman Correlation:

I. "ata on both variable at least ordinal

II. Source on one variable are monotonically related to the other variables.

III. The relationship between two variables is not linear.

Correlation of General Health with Work Night Shift:

Interpretation of this Scatter Plot:

Scatter plots result from plotting points on a graph. #ach circle represents a participant$s

score on the two variables. In which scatter plot hori%ontal e&plain wor' night sift or

rotating shifts to show wor'ing position. nd the other side shows on vertical sidegeneral heath to show health grades. nd now we draw in this scatter plot leaner line


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score on the two variables. The pattern indicates the strength and direction of the

association between the two variables.

nd this scatter plot shows liner line and liner line * S+ ,inear -./01 this scatter plot

hori%ontal line shows wor' night shift or rotating shifts. nd the vertical line of scatter

plot shows general heath grads show. nd now draw +uadratic line.


/


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In this scatter plot shows two line vertical line and hori%ontal line. 2ertical line show

general health and hori%ontal line show wor' night shift. In which scatter plot Straightline is show linear and curve line shows +uadratic. In which graph shows * s+ 3uadratic

- .45 and * s+ linear show -. and in which +uadratic and linear difference is .40

but it is greater than .0 than general health and wor' night shift shows relationship

6earson. nd in which 7o accepted and 7 re8ected.

Correlations etween General Health an! Work Night Shift:

Descriptive Statistics

Mean Std. Deviation N

general health 7.79 1.580 267

work night shift or rotating

shifts1.96 .208 269

Interpretation "escripti#e Statistics:

"escriptive statistics show in which two variables first is general health shows mean is

9.9:. and std. deviation is .0; and number of people general health is /59.and second

variable is wor' night shift or rotating shifts shows mean is .:5 and std. deviation shows

is ./; and number of people is /5:.notice that after the descriptive statistics table thereis a larger correlations table between variables general health and wor' night shift or

rotating shifts. in which table number of people general health and wor' night shift

difference is /.

Correlations etween $ariales:

Correlations

general health

work night shift or

rotating shifts

general health Pearson orrelation 1 !.0"5

Sig. #2!tailed$ .568

N 267 265


shifts

Pearson orrelation !.0"5 1


N 265 269

4


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Interpretation Correlations etween General Health an! Work Night

Shift:

fter the descriptive statistics table there is a larger correlations table that shows the

6earson correlation coefficients and two tailed significance levels. These numbers areeach given trice so you have to be careful in reading the matri&. It is a good idea to loo'

only at the numbers above the diagonal. There are two different correlations in the table.

In the last column wor' night shift correlations of other variables with general health.


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S+uare shows the variable contribution. nd in this model summary variable contribution

is =.4> and predictors in model summary are wor' night shift or rotation shifts.

0


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ANOVAb

Model S,) of S+,ares Df Mean S+,are Sig.

1 (egression .813 1 .813 ."27 .568a

(esid,al 653.771 26" 2.390

4otal 655.585 263

a. Preditors #onstant$ work night shift or rotating shifts

&. De-endent %aria&le general health

Interpretation of %egression AN)$A:

In which regression ?!2 show first column is model in which shows regression

residual total. nd second column sum of s+uares shows regression is .;1 and residual

is 501.99 and total is 500.0;0.and ne&t column shows is regression is residual

/54and total is /51. nd fourth column is mean s+uare shows is regression is .;1 and

residual is /.1:. nd ne&t column is (f) fitness test goodness of measurable of variable is

in this ?!2 .4/9 and last is significantly level of variable in which table significantly

level is .05; and in which 7o accepted. In which table below shows predictors is wor'

night shift or rotating shifts and dependent variable is general health.

Coefficients

Model

nstandardied oeffiients

Standardied

oeffiients

t Sig. Std. 'rror eta

1 #onstant$ 8."12 .91" 9.100 .000


shifts!.265 .36" !.0"5 !.572 .568

a. De-endent %aria&le general health

Interpretation of %egression Coefficients:

Most important table is the coefficients tables. It shows the standardi%ed beta and

unstandardi%ed coefficients which are interpreted much li'e correlation

coefficients. nd in which significantly level is wor' night shift is .05; greater

than .0 in which 7o accepted and 7 re8ected and in which table depended

variable is shows general heath.

* + a , -

* + ./012 , /23-

5


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Correlation etween General Health an! Current Weight:

Interpretation of Scatter Plot:


score on the two variables. In which scatter plot hori%ontal e&plain current weight to

show weight position. nd the other side shows on vertical side general heath to show

health grades and now draw on this scatter plot leaner line.




association between the two variables. nd this scatter plot shows liner line and liner line

* S+ ,inear -.// this scatter plot hori%ontal line shows current weight. nd the

vertical line of scatter plot shows general heath grads show and now in this scatter plot

draw +uadric line.

9


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In this scatter plot shows two line vertical line and hori%ontal line. 2ertical line show

general health and hori%ontal line show current weight. In which scatter plot Straight line

is show linear and curve line shows +uadratic. In which graph shows * s+ 3uadratic -

.4 and * s+ linear show -.// and in which +uadratic and linear is difference is

.: but it is greater than .0 than general health and wor' night shift shows

relationship 6earson. nd in which 7o accepted and 7 re8ected.

Correlation etween General Health an! Current Weight:




,rrent weight 6."1 1."80 266

Interpretation of "escripti#e Statistics:


9.9:. nd std. deviation is .0; and number of people general health is /59.and second

variable is current weight shows mean is 5.4 and std. deviation shows is .4; and

number of people is /55.notice that after the descriptive statistics table there is a larger

correlations table between variables general health and current weight. In which table

number of people general health and current weight difference is /.

;


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Correlations

general health ,rrent weight

general health Pearson orrelation 1 !.139


N 267 26"

,rrent weight Pearson orrelation !.139 1


N 26" 266

. orrelation is signifiant at the 0.05 level #2!tailed$.

Interpretation Correlations 4ale:


6earson correlation coefficients and two tailed significance levels. These numbers are

each given trice so you have to be careful in reading the matri&. It is a good idea to loo'


In the last column current weight correlations of other variables with general health.


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Model Summary

Model ( ( S+,are

*d/,sted (

S+,are

Std. 'rror of the

'sti)ate

1 .139a .022 .018 1.568

a. Preditors #onstant$ ,rrent weight

Interpretation of 'o!el Summar(

This is the model summary table it has five column and two rows the first column

named model which has one the second column named (*) correlation coefficient is .1:

the third column * s+uare is .// the fourth column of this model summary table

ad8usted S+uare is .; the fifth column of this model summary Std.#rror or the

#stimated is .05;.

ANOVAb

Model S,) of S+,ares df Mean S+,are Sig.

1 (egression 13.573 1 13.573 5.923 .016a

(esid,al 632.07" 261 2.360

4otal 656.636 262

a. Preditors #onstant$ ,rrent weight


Interpretation of AN)$A:

This is ?!2 table. It contains si& column and four rows. The first column of this table

has model that is one. The regression column has value 1.091 residual has value

51/.94 total is 505.515. The second column of the ?!2 table is sum of S+uares thevalues of this column is regression 1.091 residual value is51/.94 and total is 505.515.

The third column of this table @df@ in this "A table the regression value is residual

value is /5 and the total of the "A column is /5/. The fourth column of this ?!2

table is Mean S+uare in the mean s+uare the value of regression is 1.091 residual value

is /.15 the fifth column is A and regression value of A is 0.:/1 si&th column is sig. and

regression value of significance is .5. In this table predictor$s variable is current

variable. nd dependent variable is general health.


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Coefficientsa

Model


Standardied

oeffiients

4 Sig. Std. 'rror eta

1 #onstant$ 8.862 .35" 19.531 .000

,rrent weight !.171 .070 !.139 !2.3"3 .016


Interpretation of CoefficientsB

Most important table is the coefficients tables. It shows the standardi%ed beta and

unstandardi%ed coefficients which are interpreted much li'e correlation

coefficients. nd in which significantly level is wor' night shift is .05; greater

than .0 in which 7o accepted and 7 re8ected. nd in which table dependedvariable is shows general heath.

Correlation etween General Health an! 5ualit( of Sleep:

Interpretation of this ScatterPlot:

Scatter plots result from plotting

points on graph. #ach circle

represents a participant$s score on

the two variables.

In which scatter plot hori%ontal

e&plain +uality of sleep to show wor'ing position. nd the other side shows on vertical

side general heath to show health grades. nd then now we draw on this scatter plot

leaner line.


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association between the two variables. nd this scatter plot shows liner line and liner line

* S+ ,inear -.0 this scatter plot hori%ontal line shows +uality of sleep. nd the

vertical line of scatter plot shows general heath grad shows. and in this scatter plot draw+uadric line

Interpretation of this scatter plot:

Scatter plots result from plotting

points on a graph. #ach circle represents a

participant$s score on the two variables.

Scatter plots result from plotting points on

a graph. #ach circle represents a

participant$s score on the two variables.

The pattern indicates the strength and

direction of the association between the

two variables. nd this scatter plot shows

liner line and liner line * S+ ,inear

-.0 this scatter plot hori%ontal lineshows +uality of sleep. nd the vertical line of scatter plot shows general heath grad

shows. and in this scatter plot draw +uadric line

/


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The pattern indicates the strength and direction of the association between the two

variables. nd this scatter plot shows liner line and liner line * S+ ,inear -.0and

+uadric line is .0 and in which both difference is .40 is greater than .0 then in

which spearman show this scatter plot hori%ontal line shows +uality of sleep. nd the

vertical line of scatter plot shows general heath grades

Correlation of etween General Health an! 5ualit( Sleep:




+,alit of slee- ".70 1.1"9 268

Interpretation of this "escripti#e Statistics:


9.9:. nd std. deviation is .0; and number of people general health is /59.and second

variable is +uality of sleep shows mean is 4.9 and std. deviation shows is .4: and

number of people is /5;.notice that after the descriptive statistics table there is a larger

correlations table between variables general health and +uality of sleep. In which table

number of people general health and +uality of sleep difference is /.

4


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Correlations

general health +,alit of slee-

general health Pearson orrelation 1 .122


N 267 263

+,alit of slee- Pearson orrelation .122 1


N 263 268

. orrelation is signifiant at the 0.05 level #2!tailed$.

Interpretation of 4ale Correlations:


6earson correlation coefficients and two tailed significance levels. These numbers are

each given trice so you have to be careful in reading the matri&. It is a good idea to loo'


In the last column +uality of sleep correlations of other variables with general health.


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Model Summary

Model ( ( S+,are

*d/,sted (

S+,are

Std. 'rror of the

'sti)ate

1 .122a .015 .011 1.568

a. Preditors #onstant$ +,alit of slee-

Interpretation of the 'o!el Summar(:


named model which has one the second column named (* ) correlation coefficient is .// the third column * s+uare is .0 the fourth column of this model summary table

d8usted S+uare is . the fifth column of this model summary Std.#rror of the

#stimated is .05;.

ANOVAb

Model S,) of S+,ares df Mean S+,are Sig.

1 (egression 9.71" 1 9.71" ".939 .038a

(esid,al 633.308 262 2.360

4otal 653.121 26"

a. Preditors #onstant$ +,alit of slee-


Interpretation of the AN)$A

This is ?!2 table. It contains si& column and four rows. The first column of this tablehas model that is one. It contains regression *esidual and Total. The regression column

has value :.94 residual has value 511.1; total is 501./..The second column of this

table is @df@ in this "A table the regression value is residual value is /5/ and the total

of the "A column is /54. The fourth column of this ?!2 table is Mean S+uare In the

mean s+uare the value of regression is:.94 residual value is /.15 the fifth column is A

and regression value of A is 4.:1: si&th column is significance. *egression value of

significance is .1;. In this table predictor$s variable is +uality of sleep. nd dependent

variable is general health.

0


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Coefficient

Model


Standardied

oeffiients

4 Sig. Std. 'rror eta

1 #onstant$ 7.160 .""0 21.670 .000

+,alit of slee- .170 .085 .122 1.987 .038


Interpretation of CoefficientsB

This is the most important tables named coefficients tables. It shows the standardi%ed beta

and unstandardi%ed coefficients which are interpreted much li'e correlation coefficients.nd in which significantly level is +uality of sleep is .1; less than .0 and so in which

7o re8ected and 7 accepted. nd in which table dependent variable shows general

heath.

Unstandadi%ed coefficient (


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This is the second independent variable current weight mean in current weight is 5.4

standard deviation is .49 and total number of people involve in this variable are /5.

3uality of sleep is third independent variable mean is 4.9 standard deviation is .1

and total number of people involve are /5.

Correlations

general

health

work night shift

or rotating shifts

,rrent

weight

+,alit

of slee-

Pearson orrelation general health 1.000 !.0"7 !.1"6 .121


shifts!.0"7 1.000 !.01" .111

,rrent weight !.1"6 !.01" 1.000 !.027

+,alit of slee- .121 .111 !.027 1.000

Sig. #1!tailed$ general health . .275 .013 .026


shifts.275 . .319 .0"7

,rrent weight .013 .319 . .""2

+,alit of slee- .026 .0"7 .""2 .

N general health 260 260 260 260


shifts260 260 260 260

,rrent weight 260 260 260 260

+,alit of slee- 260 260 260 260

Interpretation of Correlation 'atri-:

Dorrelation matri& shows first column the correlations of the other variables with general

health. In which first in depended variable wor' night shift or rotating shifts is notsignificantly but the other two is significantly variable. The first variable wor' night shift

is significantly level is ./90 but greater than .0 this is not significant. nd than second

independent variable is current weight significant level is .1 but less than .0 this is a

significant. nd the third independent variable is +uality of sleep significant level is ./5

is less than .0 this is a significant relation. In which sig (=taild) and in which number

of people involved /5.

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Variables Entered / Removedb

Model

%aria&les

'ntered

%aria&les

(e)oved Method

1 +,alit of slee-

,rrent weight

work night shift or

rotating shiftsa

. 'nter

a. *ll re+,ested varia&les entered.


Interpretation of $ariales &ntere! %emo#e!:

This table called variable entered removed it contains four column and two rows. In the

first column of this table has model the second column of this table is variable entered

the third column of this variable removed and fourth one is the method the model is one

variable entered is independent +uality of sleep current weight wor' night shift and

wor' night shift or rotating shifts variable removed column is empty and method is enter.

a. *ll re+,ested varia&les entered.


Model Summary

Model ( ( S+,are

*d/,sted (

S+,are

Std. 'rror of the

'sti)ate

1 .187a .0"5 .023 1.562

a. Preditors #onstant$ +,alit of slee- ,rrent weight work night

shift or rotating shifts

Interpretation of 'o!el Summar(:


named model which has one the second column named (*) correlation coefficient is .

;9 the third column * s+uare is .40 the fourth column of this model summary table

ad8usted * S+uare is ./1 the fifth column of this model summary Std. #rror of the

#stimated is .05/ in which predictor$s +uality of sleep current weight wor' night shift

or rotating shifts.

;


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ANOVAb

Model S,) of S+,ares Df Mean S+,are Sig.

1 (egression 22.620 " 7.530 ".091 .028a

(esid,al 623.332 256 2.3"9

4otal 637.062 259

a. Preditors #onstant$ +,alit of slee- ,rrent weight work night shift or rotating shifts


Interpretation of Table ?!2B

This is ?!2 table. It contains si& column and four rows. The first column of this tablehas model that is one. It contains regression *esidual and Total. The regression sum of

s+uares has value //.5/ residual has this column value 5/1.11/ total is 519.5/..The

third column of this table is @df@ in this "A table the regression value is 4 residual value

is /05 and the total of the "A column is /5:. The fourth column of this ?!2 table is

Mean S+uare In the mean s+uare the value of regression is 4.: residual value is /.14:

the fifth column is A and regression value of A is 4.: si&th column is significance.

*egression value of significance is ./;. In this table predictor$s variable is +uality of

sleep. nd dependent variable is general health.

Coefficients

Model

nstandardied

oeffiients

Standardied

oeffiients

t Sig. Std. 'rror eta

1 #onstant$ 8.887 1.0"9 8.557 .000


shifts!."9" .361 !.05" !.852 ."95

,rrent weight !.153 .071 !.1"" !2.172 .0"1

+,alit of slee- .170 .086 .12" 1.990 .038


E - a F b& F D&/ F "&4

E - ;.;;9 F (=.4:4) F (=.01) F .9&4

:


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E - ;.;;9 = .4:4 = .01 F .9&4

Interpretation of Coefficients:

This is the most important tables named coefficients tables. It shows the

standardi%ed beta and unstandardi%ed coefficients which are interpreted much li'e

correlation coefficients. nd in which significantly level is wor' night shift is .4:0

is less than .0 and 7o is re8ected and 7 accepted and current weight

significantly level is .4 is less than .0 in which 7o is re8ected and 7 accepted

+uality of sleep significantly level is .1; less than .0 and so in which 7o

re8ected and 7 accepted. nd in which table dependent variable shows generalheath.Unstandadi%ed coefficient (

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Assignment of QT