Since increasing the number of variables increases R2 why not include every variable in the regression equation?
A. Yes, you can include as many significant variables as you wish since computation power is the only limitation on regression modeling.
B. No, since the F statistic and Adjusted R2 value degrees of freedom increase and they decreases as a result.
C. No, since coefficient t-values will decrease as more variables are added.
D. No, since the accuracy of the additional data decreases as more variables are added.