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# MCQs: Regression Analysis

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11. The point estimate of the variance in a regression model is
A. SSE
B. b0
C. MSE
D. b1

12. The least squares regression line minimizes the sum of the
A. Sum of Differences between actual and predicted Y values
B. Sum of Squared differences between actual and predicted X values
C. Sum of Absolute deviations between actual and predicted X values
D. Sum of Absolute deviations between actual and predicted Y values
E. Sum of Squared differences between actual and predicted Y values

13. The ___________ the R2 and the __________ the s (standard error), the stronger the relationship between the dependent variable and the independent variable.
A. Higher, lower
B. Lower, higher
C. Lower, lower
D. Higher, higher

14. In simple bivariate regression analysis, if the correlation coefficient is a positive value, then
A. The Y intercept must also be a positive value
B. The coefficient of determination can be either positive or negative, depending on the value of the slope
C. The least squares regression equation could either have a positive or a negative slope
D. The standard error of estimate can either have a positive or a negative value
E. The slope of the regression line must also be positive