5. A higher-education consultant wanted to see whether a university computer help desk had sufficient resources to assist faculty with computer problems. The consultant randomly sampled 200 faculty members. To determine the factors that influence waiting time, he estimated a simple regression model and got the following results: Wâit = 45- 7Staff (50) (3.2) n=200 R2= 0.850 (standard errors of the coefficients are in parentheses beneath the coefficient estimates) where Wait = waiting time in minutes and Staff = the number of staff working at the help desk. a. Clearly explain, in words, the meaning of the following statistics: coefficient estimates, standard errors of the coefficients, R2.
5. A higher-education consultant wanted to see whether a university computer help desk had sufficient resources to assist faculty with computer problems. The consultant randomly sampled 200 faculty members. To determine the factors that influence waiting time, he estimated a simple regression model and got the following results: Wâit = 45- 7Staff (50) (3.2) n=200 R2= 0.850 (standard errors of the coefficients are in parentheses beneath the coefficient estimates) where Wait = waiting time in minutes and Staff = the number of staff working at the help desk. a. Clearly explain, in words, the meaning of the following statistics: coefficient estimates, standard errors of the coefficients, R2.
Linear Algebra: A Modern Introduction
4th Edition
ISBN:9781285463247
Author:David Poole
Publisher:David Poole
Chapter7: Distance And Approximation
Section7.3: Least Squares Approximation
Problem 31EQ
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