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

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

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

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Storm Author

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6 years ago

Correct

rhockeygirl

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Thanks for your help!!

rileyjones420

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2 hours ago

Thanks

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