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A software firm collected data for a sample of 30 computer programmers. A regression analysis can be used to determine if annual salary ($1000s) was related to the years of experience, the score on the firm's programmer aptitude test, and gender. Question: To test the joint significance of the two factors, test score and gender, in Model 1, given a - 5%, the conclusion of the test is Model 1: Standand

A software firm collected data for a sample of 30 computer programmers. A regression analysis can be used to determine if annual salary ($1000s) was related to the years of experience, the score on the firm's programmer aptitude test, and gender. Question: To test the joint significance of the two factors, test score and gender, in Model 1, given a - 5%, the conclusion of the test is Model 1: Standand

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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A software firm collected data for a sample of 30 computer programmers. A regression analysis can be used to determine if annual salary ($1000s) was related to the years of experience, the score on the firm's programmer aptitude test, and gender. Question: To test the joint significance of the two factors, test score and gender, in Model 1, given a = 5%, the conclusion of the test is Model 1: Standard Intercept experience Test score female Coefficients Error 9.3536 1.4888 0.1851 -2.3613 SST-599.7855, SSE= 75.9380 6.2008 0.1829 0.0757 1.0607 Filters Add a caption.. > +919773521433
Transcribed Image Text:A software firm collected data for a sample of 30 computer programmers. A regression analysis can be used to determine if annual salary ($1000s) was related to the years of experience, the score on the firm's programmer aptitude test, and gender. Question: To test the joint significance of the two factors, test score and gender, in Model 1, given a = 5%, the conclusion of the test is Model 1: Standard Intercept experience Test score female Coefficients Error 9.3536 1.4888 0.1851 -2.3613 SST-599.7855, SSE= 75.9380 6.2008 0.1829 0.0757 1.0607 Filters Add a caption.. > +919773521433
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