Question

Least Squares Linear Regression of Rent Predictor Variables Constant Size Location Coefficient 1260.79 0.08977 191.625 Std Error 455.277 0.42423 194.769 T 2.77 0.21 0.98 P 0.0080 0.8333 0.3302 VIF 0.0 1.0 1.0 Mean Square Error (MSE) Standard Deviation 458838 677.376 RS Adjusted R AICC PRESS 0.0234 -0.0182 657.62 2.38E+07 DF F 0.56 P 0.5738 2 Source Regression Residual Total MS 257878 458838 SS 515756 2.157E+07 2.208E+07 47 49 45 M M Lack of Fit Pure Error 2.157E+07 0.00000 479230 0.00000 2 Cases Included 50 Missing Cases 0

how would I figure out the best regression model?

Answer 1

for the best regression model

1 ) the value of coefficient of determination R² lies near to 1.

2 ) the p value of f statistic should be very low

3 ) p value of all the predictors should be less than the level of significnace .

in the above model , none of the assumption of best regression model met so the given model is not best regression model