Download pdf - Multivariate Techniques Mustard

8/8/2019 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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= -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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= 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 = 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 = 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 = 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