Asked by Charles Griffey on May 01, 2024

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A regression model displays multicollinearity when ________.

A) the correlation coefficient for dependent variables is 0.7
B) the variance inflation factor is equal to -1.
C) the correlation coefficient for independent variables is 1
D) the variance inflation factor is less than 3

Multicollinearity

A statistical phenomenon where two or more predictor variables in a multiple regression model are highly correlated, potentially distorting estimates.

Correlation Coefficient

The correlation coefficient is a statistical measure that calculates the strength and direction of the relationship between two variables, ranging from -1 to 1.

Variance Inflation Factor

A measure of how much the variance of an estimated regression coefficient increases if your predictors are correlated.

  • Grasp the concept of multicollinearity and its impact on regression analysis.
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ZK
Zybrea KnightMay 05, 2024
Final Answer :
C
Explanation :
Multicollinearity occurs when there is a perfect or near-perfect linear relationship between independent variables. This is represented by a correlation coefficient of 1 (or close to 1). Therefore, choice C is the only option that indicates multicollinearity. The other options are not necessarily indicative of multicollinearity.