Using a sample of recent college graduates, Dr. Harrison performs a regression analysis to study the effect of extracurricular activities in college on starting salary in the first job. Her independent variables include (x1) number of campus organizations in which the student was a member, (x2) number of organizations in which the student was an officer, and (x3) number of hours per week devoted to extracurricular activities. She finds that none of these variables is statistically significant. Is she safe in concluding that extracurriculars have no impact on starting salaries? Explain why or why not.

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Question
Please give me correct solution.
Using a sample of recent college graduates,
Dr. Harrison performs a regression analysis
to study the effect of extracurricular
activities in college on starting salary in the
first job. Her independent variables include
(x1) number of campus organizations in
which the student was a member, (x2)
number of organizations in which the
student was an officer, and (x3) number of
hours per week devoted to extracurricular
activities. She finds that none of these
variables is statistically significant. Is she
safe in concluding that extracurriculars have
no impact on starting salaries? Explain why
or why not.
Transcribed Image Text:Using a sample of recent college graduates, Dr. Harrison performs a regression analysis to study the effect of extracurricular activities in college on starting salary in the first job. Her independent variables include (x1) number of campus organizations in which the student was a member, (x2) number of organizations in which the student was an officer, and (x3) number of hours per week devoted to extracurricular activities. She finds that none of these variables is statistically significant. Is she safe in concluding that extracurriculars have no impact on starting salaries? Explain why or why not.
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