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Data were collected to explain the satisfaction rating a caller gives a customer representative based on the amount of time the caller is on hold (hold time is expressed in minutes) Based on the regression results, answer the following questions a) What is the estimated regression equation? b) What percentage of the variation in the rating is explained by hold time? c) What is the standard error of the error term in the regression equation?

Data were collected to explain the satisfaction rating a caller gives a customer representative based on the amount of time the caller is on hold (hold time is expressed in minutes) Based on the regression results, answer the following questions a) What is the estimated regression equation? b) What percentage of the variation in the rating is explained by hold time? c) What is the standard error of the error term in the regression equation?

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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Data were collected to explain the satisfaction rating a caller gives a customer representative based on the amount of time the caller is on hold (hold time is expressed in minutes) Based on the regression results, answer the following questions a) What is the estimated regression equation? b) What percentage of the variation in the rating is explained by hold time? c) What is the standard error of the error term in the regression equation?
Complete the Table Below Regression Statistics Multiple R R Square Adjusted R Square 0.661 Standard Error Observations 10 ANOVA Significance F df SS MS F Regression 58.7 0.0026 Residual 25.3 Total Standard Error Upper 95% Coefficients t Stat P-value Lower 95% 23.90 4.430 0.0006499 Intercept Hold time -1.30 0.303 0.003
Transcribed Image Text:Complete the Table Below Regression Statistics Multiple R R Square Adjusted R Square 0.661 Standard Error Observations 10 ANOVA Significance F df SS MS F Regression 58.7 0.0026 Residual 25.3 Total Standard Error Upper 95% Coefficients t Stat P-value Lower 95% 23.90 4.430 0.0006499 Intercept Hold time -1.30 0.303 0.003
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