Question

[16] The unexplained sum of squares measures variation in the dependent variable Y about the: A) mean of the Y values. B) estimated Y values. C) mean of the X values. D) Y-intercept. [17] If X2 is a binary predictor in Y = β0 + β1X1 + β2X2, then which statement is most nearly correct? A) X2 = 1 should represent the most desirable condition. B) X2 would be a significant predictor if β2 = 423.72. C) X2 = 0, X2 = 1, X2 = 2 would be appropriate if three categories exist. D) X2 will shift the estimated equation either by 0 units or by β2 units. [18] A multiple regression analysis with two independent variables yielded the following results in the ANOVA table: SS(Total) = 798, SS(Regression) = 738, SS(Error) = 60. The multiple correlation coefficient is A) .2742 B) .0752 C) .9248 D) .9617

          [16] The unexplained sum of squares measures variation in the dependent variable Y about the:
A) mean of the Y values.
B) estimated Y values.
C) mean of the X values.
D) Y-intercept.

[17] If X2 is a binary predictor in Y = β0 + β1X1 + β2X2, then which statement is most nearly correct?
A) X2 = 1 should represent the most desirable condition.
B) X2 would be a significant predictor if β2 = 423.72.
C) X2 = 0, X2 = 1, X2 = 2 would be appropriate if three categories exist.
D) X2 will shift the estimated equation either by 0 units or by β2 units.

[18] A multiple regression analysis with two independent variables yielded the following results in the ANOVA table: SS(Total) = 798, SS(Regression) = 738, SS(Error) = 60. The multiple correlation coefficient is
A) .2742
B) .0752
C) .9248
D) .9617

Added by Anthony S.

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