Which of the following would indicate the possible presence of multicollinearity in a regression analysis? a. a significant p-value for a test of overall significance b. a high correlation between two or more independent variables c. a small value for the coefficient of determination d. all of these choices

The answer is B - A high correlation between two or more independent variables.

Step-by-step explanation:

There are many factors that shows the possible presence of multicollinearity in a regression analysis. Multicollinearity occurs when independent variables in a regresssion model are correlated; the independent variables as their names implies is to be fully independent (on their own).

Based on the options; multicollinearity occurs when there is a high correlation between two or more independent variables.

answer: option a.

step-by-step explanation:

you know that the quadrilateral opqr ( a four sided figure) is inscribed in circle. this means that all its vertices are on the circle.

then, by definition, the opposite angles of the quadrilateral are supplementary, this means that the sum of their measures is 180 degrees.

you can observe in the figure that the angles ∠opq   and the angle ∠orq   are opposite, therefore:

then, can be used to d to calculate the measure of ∠opq