Statistic Multiple Regression Model. Explain how to further optimize the model
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Bob wanted to build a multiple regression model based on advertising expenditures and price index. based on the selection of all normal values, he obtained the following:
1) Multiple R - 0.738
2) R-Square - 0.546
By using lagged values, he came up with the following:
3) Multiple R - 0.755
4) R-Square - 0.570
Explain the differences in using these different models. How could they further optimize this model.
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Solution Summary
Bob wanted to build a multiple regression model based on advertising expenditures and price index. The solution explains how using different models.
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