Select True or False from each pull-down menu, depending on whether the corresponding statement is true or false.

? True False  1. Multicollinearity is a situation in which two or more independent variables are highly correlated with each other.

? True False  2. In multiple regression, the descriptor "multiple" refers to more than one dependent variable.

? True False  3. In a multiple regression problem involving 24 observations and three independent variables, the estimated regression equation is $\hat{y}=72+3.2x_1+1.5x_2-x_3$. For this model, $SST=800$ and $SSE=245$. The value of the $F$ statistic for testing the significance of this model is 15.102.

? True False  4. In order to test the significance of a multiple regression model involving 4 independent variables and 25 observations, the numerator and denominator degrees of freedom (respectively) for the critical value of $F$ are 3 and 21.