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
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
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Problem 1P
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Question
![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
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> +919773521433](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F7db2178c-59da-49e2-844b-9bb48db45200%2F05f275e2-0a7a-459c-8d15-6638046ec3e0%2Fbxy63sh_processed.jpeg&w=3840&q=75)
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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