Multicollinearity is a(n) :
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) 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) estimated regression coefficient that has been recalculated to have a mean of zero and a standard deviation of 1.
D) statistic that compares the amount of variation in the dependent measure "explained" or associated with the independent variables to the "unexplained" or error variance.
E) situation in which several independent variables are highly correlated with each other.
Correct Answer:
Verified
Q25: It is possible for a correlation to
Q26: In a regression model, if independent variables
Q27: A scatter plot wherein the dots form
Q28: Scatter diagrams are a visual way to
Q29: Large samples result in more confidence that
Q31: Regression analysis assumes there is a straight
Q32: The pattern of covariation around the regression
Q33: The smaller the size of the coefficient
Q34: In a regression analysis, the horizontal distance
Q35: The least squares procedure determines the best-fitting
Unlock this Answer For Free Now!
View this answer and more for free by performing one of the following actions
Scan the QR code to install the App and get 2 free unlocks
Unlock quizzes for free by uploading documents