True Or False A-Multicollinearity exists when a variable is correlated to other

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True Or False A-Multicollinearity exists when a variable is correlated to other variables. B-The coefficients of each independent variable in a multiple regression model represent slopes. C-The SSE measures the total variability in the independent variable about the regression line. D-The regression model assumes the error terms are dependent. E-The errors in a regression model are assumed to have zero variance. F-The multiple regression model includes several dependent variables. G-A scatter diagram is a graphical depiction of the relationship between the dependent and independent variables. H-There is no relationship between variables unless the data points lie in a straight line. I-A variable should be added to the model regardless of the impact (increase or decrease) on the adjusted r2 value. J-The adjusted r2 will always increase as additional variables are added to the model. K-One purpose of regression is to predict the value of one variable based on the other variable. L-The regression model assumes the errors are normally distributed. M-The coefficient of determination gives the proportion of the variability in the dependent variable that is explained by the regression equation. N-The value of r2 can never decrease when more variables are added to the model. O-Error is the difference in the actual value and the predicted value. P-The variable to be predicted is the dependent variable. Q-If the assumptions of regression have been met, errors plotted against the independent variable will typically show patterns. R-The correlation coefficient has values between 1 and +1. S-The coefficient of determination takes on values between -1 and + 1. T-If the significance level for the F-test is high enough, there is a relationship between the dependent and independent variables. U-The error standard deviation is estimated by MSE. V-The best model is a statistically significant model with a high r-square and few variables. W-An F-test is used to determine if there is a relationship between the dependent and independent variables. X-The regression line minimizes the sum of the squared errors Y-The SST measures the total variability in the dependent variable about the regression line.

Explanation / Answer

True True False False True False

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