Author Question: In linear regression, the sum of the differences between the actual Y scores and the predicted Y ' ... (Read 40 times)

madam-professor · **on:** Jun 20, 2018

In linear regression, the sum of the differences between the actual Y scores and the
predicted Y ' scores is _____ .

a. normally distributed around the mean of Y
b. always equal to zero
c. the numerator of the slope of the regression equation
d. equal to the variance of the Y variable

Question 2

The mean square for the interaction of factors A and Bin a two-factor between subjects
analysis of variance is defined as SSA B divided by _____ .

a. ab
b. dfA
c. (a - 1)(b- 1)
d. ab 1

Animal_Goddess · **Reply #1 on:** Jun 20, 2018

Answer to Question 1

B

Answer to Question 2

C

madam-professor · **Reply #2 on:** Jun 20, 2018

Thank you!

Animal_Goddess · **Reply #3 on:** Jun 20, 2018

Happy to help

Author Question: In linear regression, the sum of the differences between the actual Y scores and the predicted Y ' ... (Read 40 times)

madam-professor

In linear regression, the sum of the differences between the actual Y scores and the predicted Y ' ...

Animal_Goddess

In linear regression, the sum of the differences between the actual Y scores and the predicted Y ' ...

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madam-professor

In linear regression, the sum of the differences between the actual Y scores and the predicted Y ' ...

Animal_Goddess

In linear regression, the sum of the differences between the actual Y scores and the predicted Y ' ...