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.
