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Home Q & A Board Science-Related Homework Help Mathematics Statistics and Probability
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RichaDuggi13 RichaDuggi13
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A year ago
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.

Textbook 
Introductory Statistics: A Problem-Solving Approach

Introductory Statistics: A Problem-Solving Approach


Edition: 3rd
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DratiniDratini
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RichaDuggi13 Author
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A year ago
Smart ... Thanks!
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Thanks
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