I have two models: one a simple linear regression and the other a multi linear regression.
The strongest relationship is between the two variables in the simple linear regression. The multi linear regression includes two extra variables that can be connected with the dependent, however, statistically they are insignificant (P > 0).
How do I interpret whether the best model to use is the simple linear regression or the multi-linear regression?
Here are some values from the regression:
Simple Linear : F(1, 77) = 21.07 , Prob > F = 0.0000 , Rsquared = 0.2148, Adj Rsquared = 0.2046
Multi Linear: F(3, 75) = 7.29 , Prob > F = 0.0002, Rsquared = 0.2258, Adj Rsquared = 0.1948