Laura wanted to build a multiple regression model based on advertising
expenditures and coffee tmes price index. based on the selection of
all normal values she obtained the following:
1. Multiple R=0.738
2. R-square = 0.546
By using Lagged values she came us wth the following:
3. Multiple R=0.755
4. R-square = 0.570
Explain the differences in using these different models. and how could
the company further optimize this model?