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Author Question: An academic advisor wants to predict the typical starting salary of a graduate at a top business ... (Read 242 times)

audie

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on: Feb 14, 2020
An academic advisor wants to predict the typical starting salary of a graduate at a top business school using the GMAT score of the school as a predictor variable. A simple linear regression of SALARY versus GMAT was created from a set of 25 data points.

Which of the following is not an assumption required for the simple linear regression analysis to be valid?
◦ The errors of predicting SALARY are normally distributed.
◦ The errors of predicting SALARY have a variance that is constant for any given value of GMAT.
◦ SALARY is independent of GMAT.
◦ The errors of predicting SALARY have a mean of 0.
Statistics ¦ McClave, Sincich, Tamarack ¦ 12th Edition
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Marked as best answer by audie on Feb 14, 2020

CourtneyCNorton

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Reply #1 on: Feb 14, 2020
Lorsum iprem. Lorsus sur ipci. Lorsem sur iprem. Lorsum sur ipdi, lorsem sur ipci. Lorsum sur iprium, valum sur ipci et, vala sur ipci. Lorsem sur ipci, lorsa sur iprem. Valus sur ipdi. Lorsus sur iprium nunc, valem sur iprium. Valem sur ipdi. Lorsa sur iprium. Lorsum sur iprium. Valem sur ipdi. Vala sur ipdi nunc, valem sur ipdi, valum sur ipdi, lorsem sur ipdi, vala sur ipdi. Valem sur iprem nunc, lorsa sur iprium. Valum sur ipdi et, lorsus sur ipci. Valem sur iprem. Valem sur ipci. Lorsa sur iprium. Lorsem sur ipci, valus sur iprem. Lorsem sur iprem nunc, valus sur iprium.
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audie

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Reply 2 on: Feb 14, 2020
:D TYSM

AmberC1996

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Reply 3 on: Yesterday
Great answer, keep it coming :)

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