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Author Question: Consider the following regression analysis for predicting sales per week from intelligence and ... (Read 80 times)

emoedee

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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?


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


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


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


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



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Marked as best answer by emoedee on Feb 26, 2023

latoyia.cook

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emoedee

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Reply 2 on: Feb 26, 2023
Thanks for the timely response, appreciate it


connor417

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Reply 3 on: Yesterday
Excellent

 

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