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Author Question: In regression, it is desired to predict the dependent variable based on values of other related ... (Read 466 times)

stock

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on: Feb 14, 2020

Question 1

It is dangerous to predict outside the range of the data collected in a regression analysis. For instance, we shouldn't predict the price of a 5000 square foot home if all our sample homes were smaller than 4500 square feet. Which of the following multiple regression pitfalls does this example describe?
◦ Estimability
◦ Stepwise Regression
◦ Multicollinearity
◦ Extrapolation

Question 2

In regression, it is desired to predict the dependent variable based on values of other related independent variables. Occasionally, there are relationships that exist between the independent variables. Which of the following multiple regression pitfalls does this example describe?
◦ Multicollinearity
◦ Stepwise Regression
◦ Extrapolation
◦ Estimability
Statistics ¦ McClave, Sincich, Tamarack ¦ 12th Edition
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Marked as best answer by stock on Feb 14, 2020

aruss1303

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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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smk628

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Reply #2 on: Nov 4, 2020
Thank You


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Reply #3 on: Nov 9, 2020
tahnk you


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Reply #4 on: Nov 16, 2020
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