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StatisticsQ&A LibraryResiduals Versus EDUC Residuals Versus AGE (rosponse is INCOME) (responee is INCOME) 10- 10 -10- -10 20 20 10 15 20 40 50 EDUC (a) AGE (b) Residuals Versus the Fitted Values Normal Probability Plot of the Residuals (response is INCOME) (reeponse is INCOME) 25 20- 10 1.5- 1.0 0.5- 0.0 -0.5- 1.0- -10- -15- -2.0- -25 -20 10 10 -10 20 40 50 60 70 Residual Fitted Value (4) (c) jenpisoy jenpreou Normal Score ResidualStart your trial now! First week only $4.99!*arrow_forward*

Question

Annual Income. Refer to Problem 18. OutputsA.22(a), (b), and (c) on page A-62 display, respectively, plots of residuals against education, residuals against age, and residuals against predicted income; Output A.22(d) shows a normal probability plot of the residuals. Do these graphs suggest any violations of the assumptions for multiple linear regression inferences for the variables under consideration?

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Residuals Versus EDUC Residuals Versus AGE (rosponse is INCOME) (responee is INCOME) 10- 10 -10- -10 20 20 10 15 20 40 50 EDUC (a) AGE (b) Residuals Versus the Fitted Values Normal Probability Plot of the Residuals (response is INCOME) (reeponse is INCOME) 25 20- 10 1.5- 1.0 0.5- 0.0 -0.5- 1.0- -10- -15- -2.0- -25 -20 10 10 -10 20 40 50 60 70 Residual Fitted Value (4) (c) jenpisoy jenpreou Normal Score Residual