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Cubic_Feet_Moved Labor_Hours 708 39 358 21.5 618 38.25 828 46.75 846 52 424 29.25 486 27.5 808 50.25 281 19.5 346 24 347 20.5 626 38.5 268 16 289...

The owner of a moving company has collected data to predict how many labor hours a move will take based on the number of cubic feet moved. The data below has been collected from 2020

moves. The data are modeled by the equation Yi = 2.0311 + 0.0565Xi, where Xi is the number of cubic feet moved and Yi is the predicted number of labor hours for the ith move. Perform a residual analysis for these data. Based on these results, evaluate whether the assumptions of regression have been seriously violated.

Which of the assumptions of regression, if any, have been seriously violated? Select all that apply.

A. The assumption of equal variance has been violated because the variability of the residuals is much greater when the number of customers is larger.

B. The assumption of linearity has been violated because the data are not linear.

C. The assumption of independence has been violated because errors from later time periods appear to be related to those from earlier time periods.

D. The assumption of normality has been violated because the normal probability plot does not appear to be a straight line.

E. None of the assumptions of regression have been seriously violated.

Cubic_Feet_Moved Labor_Hours 708 39 358 21.5 618 38.25 828 46.75 846 52 424 29.25 486 27.5 808 50.25 281 19.5 346 24 347 20.5 626 38.5 268 16 289 19.75 665 38.25 571 31.5 831 50 270 16 362 23.25 499 27.75
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Top Answer

E. None of the assumptions... View the full answer

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