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 d) Is the coefficient on the variable “hold time” statistically significantly different than 0 at the 10% level of significance? How do you know? e) What is the predicted rating if a caller is on hold for 10 minutes? f) What is the effect on the rating of increasing the hold time by 1 g) What is the 95% confidence interval for the coefficient of minute hold time?
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 d) Is the coefficient on the variable “hold time” statistically significantly different than 0 at the 10% level of significance? How do you know? e) What is the predicted rating if a caller is on hold for 10 minutes? f) What is the effect on the rating of increasing the hold time by 1 g) What is the 95% confidence interval for the coefficient of minute hold time?
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
d) Is the coefficient on the variable “hold time” statistically significantly different than 0 at the 10% level of significance? How do you know?
e) What is the predicted rating if a caller is on hold for 10 minutes?
f) What is the effect on the rating of increasing the hold time by 1
g) What is the 95% confidence interval for the coefficient of minute hold time?
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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