Following is a portion of the Excel output for a regression analysis relating maintenance expense (dollars per month) to usage (hours per week) for a particular brand of computer terminal. ANOVA df SS Significance of F Regression 1 1575.76Residual 8 349.14Total 9 1924.90 Coefficients Standard Error Intercept 6.1092 .9361 Usage 0.8951 .149 1. The estimated regression equation is:.2. Use a t test to determine whether monthly maintenance expense is related to
usage at the .05 level of significance. What is the value of t-test calculated?
3. Based on the value of this regression results, is monthly maintenance expense related to usage?
A. There is no evidence to suggest that usage and monthly maintenance are related.
B. Yes, monthly maintenance is significant to explain the changes on usage.
C. Yes usage is significant to explain the changes on monthly maintenance.
D. No. usage does not help explain changes on monthly maintenance.
4. What is the F calculated?
5. Is the model significant?
A. Yes the model as a whole is significant, we reject the null hypothesis.
B. Yes, the model as a whole is significant. we fail to reject the null.
C. No, the model is not siginificant. there is not evidence to suggest that the model is explaining the changes in y.