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
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