Multivariate Techniques Mustard

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    GROUP-I

    Ankita Sood

    Anil Sajwan

    Chinmay Mishra

    Lokesh SabharwalMangesh Yadav

    Mayuri Kothari

    Sunil Garg

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    Additive Regression Model

    Y= b1 + b2 X2i+ b3X3i +.+ bkXki + Ui

    Hypothesis

    Ho= There is no Increase in oil recovery of

    mustard due to pre-treatments.

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    Additive Regression Model= 59.32-0.095Xs-0.720Xt +9.245Xm

    (0.406) (0.004) (0.000)

    R2=0.641Where as,

    Dependent Variable

    = Oil Recovery (%)Independent Variable

    Xs=Hot water treatment time (Minute).

    Xt =Hot water treatment temperature (C)

    Xm= Moisture Content of the seed (%)

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    Additive Regression Model

    = -1.840-0.095Xs +9.245Xm(0.00) (0.478)

    R2=0.481

    Where as,

    Dependent Variable

    = Oil Recovery (%)

    Independent VariableXt =Hot water treatment temperature (C)

    Xm= Moisture Content of the seed (%)

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    Additive Regression Model

    = 124.04-0.720Xt -0.095Xs(0.042) (0.574)

    R2=0.171

    Additive Linear Regression Model= 118.32-0.720XtR2=0.16

    Where as,

    Dependent Variable

    = Oil Recovery (%)Independent Variable

    Xt =Hot water treatment temperature (C)

    Xs=Hot water treatment time (Minute).

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    Model Dependent

    variable

    Const

    ant

    X1

    (S)

    X2

    (t)

    X3

    (m)

    R2

    Additive

    Regression

    Model

    Oil

    Recovery(%)

    59.38 -0.095

    (0.406)

    -0.720

    (0.004)

    9.245

    (0.000)

    0.641

    Additive

    Regression

    Model

    Oil

    Recovery(%)

    53.61 0.095

    (0.478)

    9.245

    (0.00)

    0.481

    AdditiveRegression

    Model

    Oil

    Recovery(%)

    124.04 -0.95

    (0.574)

    0.720

    (0.042)

    0.17

    Additive

    Regression

    Model

    Oil

    Recovery(%)

    62.87 0.0955

    (0.599)

    0.011

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    Log linear regression model for oil recovery

    Log = 3.483 -1.336 LogXt- 1.42 Log Xs + 1.26 LogXm

    (0.312) (0.005) (0.002)

    R2=0.601

    Where as,

    = Oil Recovery (%)Xs=Hot water treatment time (Minute).Xt =Hot water treatment temperature (C)Xm= Moisture Content of the seed (%)

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    Log linear regression model for oil recovery

    Log = 4.533-1.336 LogXt- 1.42 Log Xs

    R2=0.189

    Where as,

    = Oil Recovery (%)Xs=Hot water treatment time (Minute).Xt =Hot water treatment temperature (C)

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    Log linear regression model for oil recovery

    Log = 0.912 -1.42Xs + 1.26 LogXm

    (0.385) (0.000)

    R2=0.431

    Where as,

    = Oil Recovery (%)Xs=Hot water treatment time (Minute).Xm= Moisture Content of the seed (%)

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    Log linear regression model for oil recovery

    Log = 1.962 -0.142Xs

    (0.481)

    R2=0.019

    Where as,

    = Oil Recovery (%)Xs=Hot water treatment time (Minute).

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    Model Dependent

    variable

    Const

    ant

    X1

    (t)

    X2

    (s)

    X3

    (m)

    R2

    Log linear

    regression

    mode

    Oil Recovery

    (%)

    3.483 -1.336

    (0.312)

    -1.42

    (0.005)

    1.26

    (0.00)

    0.601

    Log linearregression

    mode

    Oil Recovery(%)

    4.533 -1.336(0.034)

    -1.42(0.466)

    0.189

    Log linear

    regression

    mode

    Oil Recovery

    (%)

    0.912 -0.142

    (0.385)

    1.260

    (0.000)

    0.431

    Log linear

    regression

    mode

    Oil Recovery

    (%)

    1.962 -0.142

    (0.498)

    0.019

    Log linear

    regression

    mode

    Oil Recovery

    (%)

    4.287 -1.336

    (0.033)

    0.170

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    Model Dependent

    variable

    Const

    ant

    X1

    (t)

    X2

    (s)

    X3

    (m)

    R2

    Time Series

    Multivariate

    Model

    Production

    (M.Tonnes)

    -4.445 00.658

    (0.000)

    0.006

    (0.003)

    0.031

    (0.000)

    0.995

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    THANK YOU

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    Model Dependent

    variable

    Const

    ant

    X1

    (t)

    X2

    (s)

    X3

    (m)

    Adj R2

    Log linear

    regression

    mode

    Oil Recovery

    (%)

    3.483 -1.336

    (0.312)

    -1.42

    (0.005)

    1.26

    (0.00)

    0.601

    Log linear

    regression

    mode

    Oil Recovery

    (%)

    4.533 -1.336

    (0.034)

    -1.42

    (0.466)

    0.189

    Time Series

    Multivariate

    Model

    Production

    (M.Tonnes)

    -4.445 00.658

    (0.000)

    0.006

    (0.003)

    0.031

    (0.000)

    0.995