1. A multiple linear regression model should not be used if: A The variables are all statistically...

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Statistics

1. A multiple linear regression model should not be usedif:
A The variables are all statistically significant.
B The coefficient of determination R2 is large.
C Both of the above.
D Neither of the above.
2. Consider a multiple linear regression model where the outputvariable is a company's revenue for
different months, and the purpose is to investigate how the revenuedepends upon the company's advertising budget. The input variablescan be time-lagged so that the first input variable is theadvertising budget in that month, the second input variable is theadvertising budget in the previous month, etc.
A True.
B False.

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1 A multiple linear regression model should not be used if multiple linear regression requires the relationship between the independent and dependent variables to be linear The linearity assumption can best be tested with scatterplots in multiple See Answer

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