Answer:
The variable should be included or excluded based on its significance.
True
Step-by-step explanation:
Multicollinearity affect independent variables which are correlated. These effect the regression model equation and would increase the deviation error. The standard error is incorporated in the calculation by the variance. When multicollinearity is not included in the population then the variance error will be minimum.