Regression Final

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    Data for building regression:

    Factors GDP Agriculture and Allied sect

     Year At 1999-2000 Prices (Rs Crore

    1970-71 209842.98

    1971-72 205903.46

    1972-73 195570.241973-74 209655.02

    1974-75 206461.23

    1975-76 233073.63

    1976-77 219606.21

    1977-78 241646.45

    1978-79 247210.37

    1979-80 215630.01

    1980-81 243420.90

    1981-82 254622.33

    1982-83 253907.261983-84 279605.15

    1984-85 284037.15

    1985-86 284929.80

    1986-87 283763.06

    1987-88 279257.48

    1988-89 322932.36

    1989-90 326772.53

    1990-91 339892.76

    1991-92 333256.39

    1992-93 355421.301993-94 367230.91

    1994-95 384549.44

    1995-96 381875.38

    1996-97 419758.56

    Data for forecasting ! regression:

    1997-98 409039.06

    1998-99 434892.19

    1999-00 446515.30

    2000-01 445402.59

    2001-02 473248.49

    2002-03 438966.26

    2003-04 482676.52

    2004-05 482910.17

    2005-06 511113.98

    2006-07 531315.45

     

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    AGR%C&'"&R ! A''%D #C")R %nstitutional Rural Credit

    GR)## ARA &*DR %RR%GA"%)*(+000 ,ectares 'ong "er$ (in billlion Rs

    33880 5.22

    33675 6.38

    34465 7.9235318 9.85

    36689 11.50

    38538 17.72

    38847 21.60

    40562 25.20

    42489 29.08

    43053 35.68

    42932 42.89

    43934 48.43

    44453 59.9546249 71.85

    46262 86.70

    46128 103.77

    47723 116.45

    46826 137.42

    50808 152.39

    51313 181.60

    52134 193.13

    53432 207.23

    54744 225.7656135 240.37

    58035 263.78

    58062 282.27

    61409 309.11

    62271 329.50

    65341 338.86

    66247 497.24

    64183 373.02

    66109 452.34

    61722 542.24

    65176 704.54

    66298 862.59

    67968 1079.88

    70493 1324.77

    "ractors #ales "i$e- #eries

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    Rainfall "ractors

    Annual ($$ #ales

    92.6 1./0

    127.8 1/.

    120.9 1151.2 19.

    124.4 2/.

    148.0 2./

    95.6 .

    167.4 9//.

    117.8 12

    142.4 02.

    92.4 /0.

    86.6 01

    111.5 /.1119.7 .2

    92.0 02/

    161.4 .22

    152.7 ..9

    160.7 9010

    87.7 10/20

    89.4 11.00

    165.3 1.12

    106.8 1/00

    112.0 1/..0134.9 190.2

    130.9 1/0.

    123.9 191200

    130.9 22/12

    167.0 22./

    157.0 2/

    141.0 2/0./2

    66.4 2.19

    125.8 2100

    77.6 1/.02

    120.5 191/..

    119.2 2.1

    136.4 290/

    100.8 2.1

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    C,ec3 for Collinearit4:

    GDP Agriculture and Allied sect

    GDP Agriculture and Allied sector   1

    GR)## ARA &*DR %RR%GA"%)*%nstitutional Rural Credit

    Annual Rainfall

    Fro$ t,e abo5e collinearit4 table6 7e get to 3no7 t,at factors- GDP6correlated to eac, ot,er8 ",erefore6 7e can run regression 7it,

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    GR)## ARA &*DR %RR%GA"%) %nstitutional Rural Credi Annual Rainfall

    0.9784348241 0.9825617815 0.0197360004

    1 0.9648101376 0.01117886431 0.0503492988

    1

    ross area under irrigaton ! %nstitutional rural credit are ,ig,l4nl4 one factor a$ong t,ese t,ree and t,e annual rainfall8

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    #&ARY )&"P&"

    Regression Statistics Regression uMultiple R 0.9761805924

    R Square 0.9529285489

    Adjusted R Square 0.949005928Standard Errr 12896.01952731

    !"ser#atins 27

    A$!%A

    df SS MS

    Re&ressin 2 80802604135.1 40401302068

    Residual 24 3991375671.57 166307319.65

     'tal 26 84793979806.7

    Coecients Standard Error t Stat  

    (nter)ept 39960.49672733 12548.3060018 3.184533173%nstitutional Rural Credi572.0504063365 25.9534372783 22.041412095

    Annual Rainfall   -127.903507655 97.7961991988 -1.307857654

    RES(*+A, !+'+'

    Observation Predicted Sales Residuals

    1 31102.73503954 -15342.7350395

    2 27264.11004143 -10689.11004143 29027.60187001 -10673.60187

    4 26256.18287229 -6381.18287229

    5 30627.8800479 -4049.8800479

    6 31167.51079465 1597.48920535

    7 40089.21017237 -6616.21017237

    8 32965.11978554 6701.88021446

    9 41528.68934182 9899.31065818

    10 42157.79573533 15869.2042647

    11 52677.45454777 15409.5454522

    12 56588.45414327 26712.5458567

    13 59993.67748366 3720.3225163414 65752.26855629 8485.73144371

    15 77790.14425243 2472.85574757

    16 78678.54125733 -446.54125733

    17 87044.90092628 -9155.90092628

    18 98017.56988591 -7507.56988591

    19 115918.1205276 -9668.12052759

    20 132410.2769337 -15110.2769337

    21 129298.1418877 7824.8581123

    'on

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    22 144846.4078149 1953.59218513

    23 154781.4036045 -8011.40360448

    24 160210.0697158 -21138.0697158

    25 174113.3837587 -10038.3837587

    26 185585.9203255 5614.07967454

    27 200044.4286779 28567.5713221

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      sing factors- %nstitutional Rural Credit and Annual Rainfall8

    F Signicance F  

    242.93159287 1.183290E-016

    P-value Lower 9! "##er 9! Lower 9$%! "##er 9$%!

    0.003987124 14062.066019 65858.927435 14062.066019 65858.9274351.95188E-017 518.48514447 625.6156682 518.48514447 625.6156682

    0.2033111226 -329.74494251 73.937927204 -329.74494251 73.937927204

     "er$ (in billlion Rs Residual Plot

    nnual ($$ Residual Plot

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    #&ARY )&"P&"

    Regression Statistics

    Multiple R 0.9741572254

    R Square 0.9489822999

    Adjusted R Square 0.9447308249Standard Errr 13425.71201356

    !"ser#atins 27

    A$!%A

    df 

    Re&ressin 2

    Residual 24

     'tal 26

    Coecients

    (nter)ept -228432.660146GR)## ARA &*DR %RR%GA"%)*(+000 ,ectare   6.9613727891

    Rainall Annual / -43.3900890989

    RES(*+A, !+'+'

    Observation Predicted Sales

    1 3400.727698316

    2 446.31514026943 6245.191258445

    4 10868.52254786

    5 21575.41902957

    6 33422.99121389

    7 37847.6960745

    8 46671.04201052

    9 62237.75579443

    10 65096.57385565

    11 66423.75220311

    12 73650.71025457

    13 76183.2495135514 88330.07631218

    15 89622.47962647

    16 85678.38348927

    17 97159.26686305

    18 90567.79475844

    19 121455.4577089

    20 124897.1878159

    21 127319.1671132

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    22 138893.3492057

    23 147801.0418417

    24 156490.678351

    25 169890.8470067

    26 170382.5346957

    27 193379.7886173

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    Regression using factors- Gross Area under irrigati

    SS MS F Signicance F  

    80467985973 40233992986 223.21248453 3.109213E-016

    4325993833.71 180249743.07

    84793979806.7

    Standard Error t Stat P-value Lower 9! "##er 9!

    19738.0270946 -11.573226597 2.63511E-011 -269169.94588 -187695.374420.3294870183 21.127912186 5.13857E-017 6.281345006 7.6414005723

    101.690312291 -0.42668852240.6734093896 -253.26857837 166.48840017

    Residuals

    12359.2723017

    16128.684859712108.8087416

    9006.47745214

    5002.58097043

    -657.99121389

    -4374.6960745

    -7004.04201052

    -10809.7557944

    -7069.57385565

    1663.24779689

    9650.28974543

    -12469.2495136-14092.0763122

    -9359.47962647

    -7446.38348927

    -19270.2668631

    -57.7947584358

    -15205.4577089

    -7597.1878159

    9803.83288685

    GR)## ARA &*DR %RR%GA"%)*(+000 ,ectares Resi

    Annual ($$ Residual Pl

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    7906.65079431

    -1031.04184168

    -17418.678351

    -5815.84700666

    20817.4653043

    35232.2113827

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    on and Annual Rainfall8

    Lower 9$%! "##er 9$%!

    -269169.94588 -187695.374426.281345006 7.6414005723

    -253.26857837 166.48840017

    ual Plot

    t

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    #&ARY )&"P&"

    Regression Statistics

    Multiple R 0.9741635832

    R Square 0.9489946869

    Adjusted R Square 0.9447442441Standard Errr 13424.08204459

    !"ser#atins 27

    A$!%A

    df SS

    Re&ressin 2 80469036316.9

    Residual 24 4324943489.76

     'tal 26 84793979806.7

    Coecients Standard Error 

    (nter)ept -149598.605552 17080.4388752GDP- Agricultural ! Allied acti5iti   0.8643826045 0.0409066459

    Rainall Annual / -61.7810175675 101.691419857

    RES(*+A, !+'+'

    Observation Predicted Sales Residuals

    1 26065.09456053 -10305.0945605

    2 20485.14818062 -3910.148180623 11979.57865059 6374.42134941

    4 22282.25745432 -2407.25745432

    5 21177.32851039 5400.67148961

    6 42722.59680192 -9957.59680192

    7 34318.9180686 -845.918068602

    8 48934.23826911 -9267.23826911

    9 56807.93743036 -5379.93743036

    10 27990.61052359 30036.3894764

    11 55101.61641988 12985.3835801

    12 65142.27134222 18158.7286578

    13 62985.8312696 728.16873039914 84692.03443062 -10454.0344306

    15 90234.31222529 -9971.31222529

    16 86718.30319528 -8486.30319528

    17 86247.28549306 -8358.28549306

    18 81858.49220113 8651.50779887

    19 124120.317606 -17870.317606

    20 127334.6621579 -10034.6621579

    21 133986.381632 3136.61836805

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    22 131864.2116978 14935.7883022

    23 150701.9090472 -3931.90904724

    24 159495.1432923 -20423.1432923

    25 174712.109169 -10637.109169

    26 172833.1578698 18366.8421302

    27 205146.2525009 23465.7474991

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    Regression using factors- GDP ! Annual Rainfall8

    MS F Signicance F  

    40234518158 223.26960759 3.100166E-016

    180205978.74

    t Stat P-value Lower 9! "##er 9! Lower 9$%!

    -8.7584755079 6.12280E-009 -184850.89878 -114346.31233 -184850.8987821.130615482 5.12359E-017 0.7799554369 0.9488097721 0.7799554369

    -0.60753422120.5492022802 -271.66179274 148.09975761 -271.66179274

    At 1999-2000 Prices (Rs Crore Residual

    Annual ($$ Residual Plot

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    "##er 9$%!

    -114346.312330.9488097721

    148.09975761

     Plot

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    #&ARY )&"P&"

    Regression Statistics

    Multiple R 0.9744607451

    R Square 0.9495737438

    Adjusted R Square 0.9475566935Standard Errr 13077.98601013

    !"ser#atins 27

    A$!%A

    df SS MS

    Re&ressin 1 80518136854.6 80518136855

    Residual 25 4275842952.03 171033718.08

     'tal 26 84793979806.7

    Coecients Standard Error t Stat  

    %nterce=t   24288.80750722 3777.4018228 6.430030123%nstitutional Rural Credi570.3413798686 26.286265612721.697314798

    RES(*+A, !+'+'

    Observation Predicted Sales Residuals

    1 27265.98951014 -11505.9895101

    2 27927.58551079 -11352.5855108

    3 28805.91123578 -10451.91123584 29906.67009893 -10031.6700989

    5 30847.73337571 -4269.73337571

    6 34395.2567585 -1630.2567585

    7 36608.18131239 -3135.18131239

    8 38661.41027991 1005.58972009

    9 40874.3348338 10553.6651662

    10 44638.58794094 13388.4120591

    11 48750.74928979 19336.2507102

    12 51910.44053426 31390.5594657

    13 58480.77323035 5233.22676965

    14 65267.83565079 8970.1643492115 73737.40514184 6525.59485816

    16 83473.13249619 -5241.13249619

    17 90705.06119293 -12816.0611929

    18 102665.1199288 -12155.1199288

    19 111203.1303854 -4953.13038541

    20 127862.8020914 -10562.8020914

    21 134438.8382013 2684.16179875

    22 142480.6516574 4319.3483426

    %n all t,e t,rrunning singl

    'ong

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    23 153049.0774264 -6279.07742637

    24 161381.7649863 -22309.7649862

    25 174733.456689 -10658.456689

    26 185279.0688027 5920.93119725

    27 200587.0314384 28024.9685616

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    "ractor #ales 2281 ; .08< %nstitutional Rural Credit

    F Signicance F  

    470.77346945 9.822514E-018

    P-value Lower 9! "##er 9! Lower 9$%! "##er 9$%!

    9.85544E-007 16509.102824 32068.512191 16509.102824 32068.5121919.82251E-018 516.20380243 624.47895731 516.20380243 624.47895731

      e 'R6 =-5alue for Annual Rainfall factor is $ore t,an 0806 ,ence re>ected8e factor linear regression:

    "er$ (in billlion Rs Residual Plot

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      n

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    "ractor #ales 2281

     Year %nstitutional Rural Credit

    1970-71 5.22 157601971-72 6.38 16575

    1972-73 7.92 18354

    1973-74 9.85 19875

    1974-75 11.50 26578

    1975-76 17.72 32765

    1976-77 21.60 33473

    1977-78 25.20 39667

    1978-79 29.08 51428

    1979-80 35.68 58027

    1980-81 42.89 68087

    1981-82 48.43 83301

    1982-83 59.95 63714

    1983-84 71.85 74238

    1984-85 86.70 80263

    1985-86 103.77 78232

    1986-87 116.45 77889

    1987-88 137.42 90510

    1988-89 152.39 106250

    1989-90 181.60 117300

    1990-91 193.13 137123

    1991-92 207.23 1468001992-93 225.76 146770

    1993-94 240.37 139072

    1994-95 263.78 164075

    1995-96 282.27 191200

    1996-97 309.11 228612

    199.-9   329.50 22./

    199-99   338.86 2/

    1999-00   497.24 2/0./2

    2000-01   373.02 2.19

    2001-02   452.34 2100

    2002-0   542.24 1/.02

    200-0   704.54 191/..

    200-0   862.59 2.1

    200-0/   1079.88 290/

    200/-0. 1324.77 2.1

    "ractors Actual#ales

    Forecast Calculations: 

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      .08< %nstitutional Rural Credit

    "ractors Forcasted #ales

    2726627928

    28806

    29907

    30848

    34395

    36608

    38662

    40875

    44639

    48751

    51911

    58481

    65268

    73738

    83474

    90706

    102666

    111204

    127864

    134441

    142482153051

    161384

    174736

    185282

    200590

    rror

    ?-A @@ @@A AP

    212219   41057 41057 0.162103 /82

    21.   39000 39000 0.152014

    0.90   -47128 47128 0.18073

    2.01   148 148 0.000625

    2221   -67276 67276 0.312904

      -167853 167853 1.012984

    2/12   -234446 234446 1.223132

    1/2/.   -268736 268736 1.085666

    /019   -349652 349652 1.203432

    ..9.1   -427090 427090 1.210639

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    #&ARY )&"P&"

    Regression Statistics

    Multiple R 0.9739585625

    R Square 0.9485952815

    Adjusted R Square 0.9465390928Standard Errr 13204.257889

    !"ser#atins 27

    A$!%A

    df 

    Re&ressin 1

    Residual 25

     'tal 26

    Coecients

    (nter)ept -233739.19632GR)## ARA &*DR %RR%GA"%)*(+000 ,ectare  6.9598011713

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    "ractor #ales -2.982 ; /89

    SS MS F Signicance F  

    80435169146.8 80435169147 461.33667773 1.249561E-017

    4358810659.84 174352426.39

    84793979806.7

    Standard Error t Stat P-value Lower 9! "##er 9!

    15074.3395837 -15.505766937 2.47372E-014 -264785.37985 -202693.012790.3240319549 21.478749445 1.24956E-017 6.2924448678 7.6271574747

    %n all t,e t,ree 'R6 =-5alue for Annual Rainfall factor isingle factor linear regression:

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    "ractor #ales -2.982

     Year GR)## ARA &*DR %RR%GA"%)

    1970-71 33880 157601971-72 33675 16575

    1972-73 34465 18354

    1973-74 35318 19875

    1974-75 36689 26578

    1975-76 38538 32765

    1976-77 38847 33473

    1977-78 40562 39667

    1978-79 42489 51428

    1979-80 43053 58027

    1980-81 42932 680871981-82 43934 83301

    1982-83 44453 63714

    1983-84 46249 74238

    1984-85 46262 80263

    1985-86 46128 78232

    1986-87 47723 77889

    1987-88 46826 90510

    1988-89 50808 106250

    1989-90 51313 117300

    1990-91 52134 137123

    1991-92 53432 146800

    1992-93 54744 146770

    1993-94 56135 139072

    1994-95 58035 164075

    1995-96 58062 191200

    1996-97 61409 228612

    199.-9   62271 22./

    199-99   65341 2/

    1999-00   66247 2/0./2

    2000-01   64183 2.19

    2001-02   66109 2100

    2002-0   61722 1/.02

    200-0   65176 191/..

    200-0   66298 2.1

    200-0/   67968 290/

    "ractors Actual#ales

    Forecast Calculations: 

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    200/-0. 70493 2.1

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      /89/< Area under %rrigation

    "ractors Forcasted #ales

    2066639

    6137

    12074

    21616

    34485

    36636

    48572

    61984

    65910

    6506872041

    75654

    88154

    88244

    87312

    98413

    92170

    119884

    123399

    129113

    138148

    147279

    156960

    170184

    170372

    193669

    rror

    ?-A @@ @@A AP

    199//   53608 53608 0.211658 1890/.

    22102   35526 35526 0.138472

    22.1   33421 33421 0.128169

    2129.2   24217 24217 0.102101

    22/1   -11376 11376 0.052912

    19   -30143 30143 0.181909

    219/   -28209 28209 0.147171

    22./9.   19834 19834 0.080129

    291   51228 51228 0.176317

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    2/91   95890 95890 0.271811

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    #&ARY )&"P&"

    Regression Statistics

    Multiple R 0.9737608907

    R Square 0.9482102723

    Adjusted R Square 0.9461386832  Standard Errr 13253.614036

    !"ser#atins 27

    A$!%A

    df SS MS

    Re&ressin 1 80402522681.2 80402522681

    Residual 25 4391457125.45 175658285

     'tal 26 84793979806.7

    Coecients Standard Error t Stat  

    %nterce=t   -157119.23927 11619.2855258 -13.5222806GDP   0.8638921217 0.0403793194 21.394420056

    %n all t,e t,rsingle factor

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    "ractor #ales -1.119 ; 08/< GDP(Agricultural ! Allied Acti5ities

    F Signicance F  

    457.72120952 1.371977E-017

    P-value Lower 9! "##er 9! Lower 9$%! "##er 9$%!

    5.32846E-013 -181049.60577 -133188.87278 -181049.60577 -133188.872781.37198E-017 0.7807293566 0.9470548869 0.7807293566 0.9470548869

      e 'R6 =-5alue for Annual Rainfall factor is $ore t,an 0806 ,ence re>ected8 )linear regression:

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      running

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    "ractor #ales -1.119 ; 08/<

     Year GDP Agriculture and Allied sect

    1970-71 209842.98 157601971-72 205903.46 16575

    1972-73 195570.24 18354

    1973-74 209655.02 19875

    1974-75 206461.23 26578

    1975-76 233073.63 32765

    1976-77 219606.21 33473

    1977-78 241646.45 39667

    1978-79 247210.37 51428

    1979-80 215630.01 58027

    1980-81 243420.90 680871981-82 254622.33 83301

    1982-83 253907.26 63714

    1983-84 279605.15 74238

    1984-85 284037.15 80263

    1985-86 284929.80 78232

    1986-87 283763.06 77889

    1987-88 279257.48 90510

    1988-89 322932.36 106250

    1989-90 326772.53 117300

    1990-91 339892.76 137123

    1991-92 333256.39 146800

    1992-93 355421.30 146770

    1993-94 367230.91 139072

    1994-95 384549.44 164075

    1995-96 381875.38 191200

    1996-97 419758.56 228612

    199.-9   409039.06 22./

    199-99   434892.19 2/

    1999-00   446515.30 2/0./2

    2000-01   445402.59 2.19

    2001-02   473248.49 2100

    2002-0   438966.26 1/.02

    200-0   482676.52 191/..

    200-0   482910.17 2.1

    200-0/   511113.98 290/

    "ractors Actual#ales

    Forecast Calculations: 

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    200/-0. 531315.45 2.1

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      DP(Agricultural ! Allied Acti5ities

    "ractors Forcasted #ales

    2418520782

    11854

    24023

    21263

    44257

    32621

    51664

    56471

    29185

    5319762875

    62257

    84460

    88289

    89060

    88052

    84159

    121895

    125212

    136548

    130815

    149965

    160169

    175132

    172821

    205552

    rror

    ?-A @@ @@A AP

    19/291   56985 56985 0.224993 1/819

    21/2   37930 37930 0.147842

    22/.0   32092 32092 0.123069

    22..09   9480 9480 0.039969

    21./   -36763 36763 0.170985

    2221   -56446 56446 0.340647

    2991   -68237 68237 0.355997

    2/011   -12584 12584 0.05084

    2   6063 6063 0.020866

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    019   50843 50843 0.144122

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