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Author Question: Consider the following regression analysis for predicting sales per week from intelligence and ... (Read 75 times)

emoedee

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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?


◦

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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Reply #1 on: Feb 26, 2023
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emoedee

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Reply 2 on: Feb 26, 2023
Excellent

Animal_Goddess

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

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