Answer:
False
Step-by-step explanation:
Given that two linear regression models have the same number of explanatory variables
First model has coefficient of determination as 0.45 while other
0.65
we know that R^2 is the proportion showing the variation of dependent because of variation in independent variables.
Hence a higher R square is always better because it ensures more linearity and hence more accuracy in the regression equation.
Hence 0.65 model is better than 0.45 model.
The given statement is false.
