amda assignment 1 group 3 (1)

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  • 7/31/2019 AMDA Assignment 1 Group 3 (1)

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    Regression analysis of relationshipbetween Production of cereals and

    Percentage Area under Irrigation

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    Variables taken:

    Dependent Variable(Y): Production of cereals

    Independent Variable(X): Percentage Area under Irrigation

    A priori reasoning: There is a direct relationship betweenproduction of cereals and per cent area under irrigation.

    Null hypothesis: There is no linear relationship between

    production of cereals and per cent area under irrigation.

    Alternate hypothesis: Their exists a linear relationship between

    production of cereals and per cent area under irrigation.

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    Data SheetYear Production (Y)

    % Area under

    Irrigation (X )1990-91 32.7 9

    1991-92 25.99 10.7

    1992-93 36.59 10.1

    1993-94 30.82 10.4

    1994-95 29.88 10.4

    1995-96 29.03 11

    1996-97 34.1 10.2

    1997-98 30.4 11

    1998-99 31.34 12

    1999-00 30.33 12.6

    2000-01 31.08 12.5

    2001-02 33.38 11.5

    2002-03 26.07 11

    2003-04 37.6 6.6

    2004-05 33.47 6.6

    2005-06 34.07 13

    2006-07 33.92 13.4

    2007-08 40.75 14.2

    1990-91 32.7 9

    1991-92 25.99 10.7

    1992-93 36.59 10.1

    Y = production million. tones.

    X = % area under irrigation.

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    Simple Linear

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    Simple Linear

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    Simple Linear Analysis

    Y= 32.500-0.018x+3.84737

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    Log Linear

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    Log Linear

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    Analysis

    Log Y= 1.562-0.053log x

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    Semi Log

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    Semi Log

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    Analysis

    Ln Y=-15.015+0.009X

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    Linear Trend

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    Linear Trend

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    Analysis

    The regression equation is

    Y= -583.391+ 0.308x +3.454

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    Cubic

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    Cubic

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    Analysis

    The regression equation is :Y= 49.463-0.509 x^2 + 0.032 x^3+10.315

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    Summary Table

    Particulars Equation Constant Slope t Value Sig Level R 2

    Simple Linear Y= 32.500-0.018x+3.84737 32.500 -0.018 -0.039 0.969 0.000

    Log Linear Log Y= 1.562-0.053log x 1.562 -0.053 -0.390 0.701 0.009

    Semi Log Ln Y=-15.015+0.009X -15.015 0.009 1.897 0.076 0.184

    Linear Trend Y= -583.391+ 0.308x +3.454 -583.391 0.308 1.962 0.067 0.194

    Cubic Y= 49.463-0.509 x^2 + 0.032

    x^3+10.315

    49.463 -3.618,

    3.610

    0.003,

    0.002

    0.479

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    THANK YOU

    Name Roll No.

    Manu Thomas U311077

    Milind GeeteU311078

    Sachin Tanajirao Pethkar U311087

    V Ramesh U311096

    Vandana Kumari U311098

    Varun Kappal U311099

    Julian Tobias U511003

    Our Team