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Author Question: The printout below shows part of the least squares regression analysis for the model fit to a set of ... (Read 79 times)

javeds

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on: Feb 14, 2020

Question 1

Which of the following is not a possible indicator of multicollinearity?
◦ non-significant t-tests for individual β parameters when the F-test for overall model adequacy is significant
◦ non-random patterns in the plot of the residuals versus the fitted values
◦ signs opposite from what is expected in the estimated β parameters
◦ significant correlations between pairs of independent variables

Question 2

The printout below shows part of the least squares regression analysis for the model fit to a set of data. The model attempts to predict a score on the final exam in a statistics course based on the scores on the first two tests in the class.



Is there evidence of multicollinearity in the printout? Explain.
Statistics ¦ McClave, Sincich, Tamarack ¦ 12th Edition
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Marked as best answer by javeds on Feb 14, 2020

yahahah24021

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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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javeds

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

adf223

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Reply 3 on: Yesterday
YES! Correct, THANKS for helping me on my review

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