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In the model displayed in the Exhibit above, which predictor variables are most likely to be chosen by a Stepwise regression approach for best model

In the model displayed in the Exhibit above, which predictor variables are most likely to be chosen by a Stepwise regression approach for best model fit. You may use JMP Stepwise Regression operation (Forward, Backward and Mixed) to find out using the Housing dataset

Bedrooms, Fireplace
Living Area, Bathrooms
Living area, Bathrooms, Bedrooms
Bedrooms, Fireplace, Lot Size (acres)

[ANOVA Table]

df

SS

MS

F

Significance F

Regression

6

3.86147E+11

64357818128

45.24558313

1.69349E-25

Residual

93

1.32284E+11

1422411066

Total

99

5.18431E+11

 


[Parameter Estimates]

Coefficients

Standard Error

T Stat

P-value

VIF

Intercept

6445.524141

199779.45552

0.32587

0.745255

Living Area (SqFt)

76.51491151

9.633241913

7.9428

4.46E-12

3.0363

Bathrooms

21018.27203

9506.408968

2.210958

0.02949

3.0705

Bedrooms

-5955.453004

7042.776039

-0.84561

0.39994

1.7334

Fireplace

166.6883816

9597.223795

0.017368

0.98618

1.5774

Lot Size (Acres)

821.3660816

5037.899967

0.163037

0.870843

1.1200

Age (Yrs)

-39.07529509

184.6254859

-0.21165

0.832846

1.7218

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