Following is a portion of the regression output for an application relating maintenance expense (dollars per month) to usage (hours per week) for a particular brand of computer terminal. Excel File: data14-41.xlsx ANOVA df MS F Significance F Regression 1 1575.76 Residual 8 349.14 Total 1924.90 Coefficients Standard Error t Stat P-value Intercept 6.1092 0.9361 Usage 0.8951 0.149 If your answer is zero, enter "0". a. Write the estimated regression equation (to 4 decimals). = b. Use a t test to determine whether monthly maintenance expense is related to usage at the 0.05 level of significance (to 2 decimals). Use Table 2 of Appen В. t = p-value = - Select your answer - v the null hypothesis. Monthly maintenance expense Select your answer - v related to usage. c. Did the estimated regression equation provide a good fit? Explain. Hint: If r is greater than 0.50, the estimated regression equation provides a good fit. - Select your answer - because the value of re is - Select your answer - v than 0.50.
Following is a portion of the regression output for an application relating maintenance expense (dollars per month) to usage (hours per week) for a particular brand of computer terminal. Excel File: data14-41.xlsx ANOVA df MS F Significance F Regression 1 1575.76 Residual 8 349.14 Total 1924.90 Coefficients Standard Error t Stat P-value Intercept 6.1092 0.9361 Usage 0.8951 0.149 If your answer is zero, enter "0". a. Write the estimated regression equation (to 4 decimals). = b. Use a t test to determine whether monthly maintenance expense is related to usage at the 0.05 level of significance (to 2 decimals). Use Table 2 of Appen В. t = p-value = - Select your answer - v the null hypothesis. Monthly maintenance expense Select your answer - v related to usage. c. Did the estimated regression equation provide a good fit? Explain. Hint: If r is greater than 0.50, the estimated regression equation provides a good fit. - Select your answer - because the value of re is - Select your answer - v than 0.50.
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
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Question
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
Transcribed Image Text:Following is a portion of the regression output for an application relating maintenance expense (dollars per month) to usage (hours per week) for a particular
brand of computer terminal.
Excel File: data14-41.xlsx
ANOVA
df
SS
MS
F
Significance F
Regression
1575.76
Residual
8
349.14
Total
9.
1924.90
Coefficients Standard Error
t Stat
P-value
Intercept
6.1092
0.9361
Usage
0.8951
0.149
If your answer is zero, enter "0".
a. Write the estimated regression equation (to 4 decimals).
ŷ =
+
b. Use a t test to determine whether monthly maintenance expense is related to usage at the 0.05 level of significance (to 2 decimals). Use Table 2 of Appendix
В.
t =
p-value =
Select your answer v the null hypothesis. Monthly maintenance expense
Select your answer -
v related to usage.
c. Did the estimated regression equation provide a good fit? Explain. Hint: If r is greater than 0.50, the estimated regression equation provides a good fit.
Select your answer v
because the value of r is
Select your answer
than 0.50.
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