Following is a portion of the computer output for a regression analysis relating y = maintenance expense (dollars per month) to x = usage (hours per week) of a particular brand of computer terminal. The regression equation is Y = 6.1092 + .8951 X Predictor Coef SE Coef Constant 6.1092 0.9361 X 0.8951 0.1490 Analysis of Variance SOURCE DF SS MS Regression 1 1575.76 1575.76 Residual Error 8 349.14 43.64 Total 9 1924.90 Complete the estimated regression equation (to 4 decimals). = + x Use a t test to determine whether monthly maintenance expense is related to usage at the .05 level of significance. Compute the value of the t test statistic (to 2 decimals). What is the p-value? Use Table 1 of Appendix B. Selectless than .01between .01 and .02between .02 and .05between .05 and .10between .10 and .20between .20 and .40greater than .40Item 4 What is your conclusion? SelectConclude that monthly maintenance expense is related to usageCannot conclude that monthly maintenance is related to usageItem 5 Use the estimated regression equation to predict monthly maintenance expense for any terminal that is used 25 hours per week (to 2 decimals). $
Following is a portion of the computer output for a regression analysis relating y = maintenance expense (dollars per month) to x = usage (hours per week) of a particular brand of computer terminal. The regression equation is Y = 6.1092 + .8951 X Predictor Coef SE Coef Constant 6.1092 0.9361 X 0.8951 0.1490 Analysis of Variance SOURCE DF SS MS Regression 1 1575.76 1575.76 Residual Error 8 349.14 43.64 Total 9 1924.90 Complete the estimated regression equation (to 4 decimals). = + x Use a t test to determine whether monthly maintenance expense is related to usage at the .05 level of significance. Compute the value of the t test statistic (to 2 decimals). What is the p-value? Use Table 1 of Appendix B. Selectless than .01between .01 and .02between .02 and .05between .05 and .10between .10 and .20between .20 and .40greater than .40Item 4 What is your conclusion? SelectConclude that monthly maintenance expense is related to usageCannot conclude that monthly maintenance is related to usageItem 5 Use the estimated regression equation to predict monthly maintenance expense for any terminal that is used 25 hours per week (to 2 decimals). $
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter4: Equations Of Linear Functions
Section4.6: Regression And Median-fit Lines
Problem 4GP
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Following is a portion of the computer output for a
The regression equation is | |||
Y = 6.1092 + .8951 X | |||
Predictor | Coef | SE Coef | |
Constant | 6.1092 | 0.9361 | |
X | 0.8951 | 0.1490 | |
Analysis of Variance | |||
SOURCE | DF | SS | MS |
Regression | 1 | 1575.76 | 1575.76 |
Residual Error | 8 | 349.14 | 43.64 |
Total | 9 | 1924.90 |
- Complete the estimated regression equation (to 4 decimals).
= + x - Use a t test to determine whether monthly maintenance expense is related to usage at the .05 level of significance.
Compute the value of the t test statistic (to 2 decimals).
What is the p-value? Use Table 1 of Appendix B.
Selectless than .01between .01 and .02between .02 and .05between .05 and .10between .10 and .20between .20 and .40greater than .40Item 4
What is your conclusion?
SelectConclude that monthly maintenance expense is related to usageCannot conclude that monthly maintenance is related to usageItem 5 - Use the estimated regression equation to predict monthly maintenance expense for any terminal that is used 25 hours per week (to 2 decimals).
$
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