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Author Question: It is desired to build a regression model to predict y = the sales price of a single family home, ... (Read 46 times)

serike

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on: Feb 14, 2020
It is desired to build a regression model to predict y = the sales price of a single family home, based on the x1 = size of the house and x2 = the neighborhood the home is located in. The goal is to compare the prices of homes that are located in two different neighborhoods. The following model is proposed:

E(y) = β0 + β1x1 + β2x2

A regression model was fit and the following residual plot was observed.



Which of the following assumptions appears violated based on this plot?
◦ The mean of the errors is zero
◦ The errors are normally distributed
◦ The variance of the errors is constant
◦ The errors are independent
Statistics ¦ McClave, Sincich, Tamarack ¦ 12th Edition
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Marked as best answer by serike on Feb 14, 2020

cclemon1

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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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serike

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Reply 2 on: Feb 14, 2020
Wow, this really help

JCABRERA33

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

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