Multicollinearity is:
A. a statistical procedure that estimates regression equation coefficients which produce the lowest sum of squared differences between the actual and predicted values of the dependent variable.
B. a statistical technique which analyzes the linear relationship between a dependent variable and multiple independent variables by estimating coefficients for the equation for a straight line.
C. an estimated regression coefficient which has been recalculated to have a mean of zero and a standard deviation of 1.
D. a statistic which compares the amount of variation in the dependent measure "explained" or associated with the independent variables to the "unexplained" or error variance.
E. a situation in which several independent variables are highly correlated with each other.
Answer: E