Following is a portion of the regression output for an application relating main
ID: 3221640 • Letter: F
Question
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.
If your answer is zero, enter "0".
A) Write the estimated regression equation (to 4 decimals).
=______+______x
B) Use a t test to determine whether monthly maintenance expense is related to usage at the .05 level of significance (to 2 decimals, if necessary).
t =______
p value= ______
-Select Answer-
Reject the null hypothesis
Do not reject the null hypothesis
C) Monthly maintenance expense ______ to usage.
-Select you answer-
Is related
Is not Related
D) Did the estimated regression equation provide a good fit?
-Select your Answer-
yes
no
E) Explain. (written answer)
ANOVA Regression Residual Total Intercept Usage 1575.76 349.14 1924.90 cients Standard Error t Stat 6.1092 0.9361 0.149 0.8931 P-value Signifi cance FExplanation / Answer
Answer to the questions:
A)
y^ = 6.1092 + .8951x
B)
t= .8951/.149 = 6.007
The P-Value is .000202.
The result is significant at p < .05.
Reject the null hypothesis
C)
Monthly maintaince expense Is related to usage
D)
Fitness of equation line can be commented upon after taking out the Rsquare value.
Yes, the Rsquare = SSR/SST = 1575.76/1924 = .82 which is high positive
rsquare, meaning the estimate regression eqn is a good fit