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 |
| |||||
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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