Author Question: Consider the following regression analysis for predicting sales per week from intelligence and ... (Read 81 times)

emoedee · **on:** Feb 26, 2023

Consider the following regression analysis for predicting sales per week from intelligence and extroversion scores:

The regression equation is

Sales/Week = 994 + 8.22 Intelligence + 49.7 Extroversion

Term Coef SE Coef T-Value P-Value

Constant 994 788 1.26 0.224

Intelligence 8.22 7.01 1.17 0.257

Extroversion 49.7 19.6 2.53 0.021

S R-sq R-sq(adj) R-sq(pred)

332.069 35.26% 27.65% 10.66%

Analysis of Variance

Source DF Adj SS Adj MS F-Value P-Value

Regression 2 1021166 510583 4.63 0.025

Error 17 1874584 110270

Total 19 2895750

Which of the predictors (if any) do not appear to be linearly correlated with sales per week?

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Both predictors are significant because thep-value from the global utility test is essentially zero.

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Neither of the predictors is significant because the R-Sq value is low (32.56%).

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Intelligence does not appear to be linearly correlated with sales per week because itsp-value is 0.257.

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Extroversion does not appear to be linearly correlated with sales per week because itsp-value is 0.021.

latoyia.cook · **Reply #1 on:** Feb 26, 2023

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