Laura wanted to build a multiple regression model based on advertising expenditures and Coffee Time's price index. Based on the selection of all normal values, she obtained the following:
Multiple R = 0.738
R-Square = 0.546
By using lagged values, she came up with the following:
Multiple R = 0.755
R-Square = 0.570
Explain the differences in using these different models and how can the model be improved