Please answer Question 17-20 based on the following ANOVA table of Linear Regression (α=0.05):
Source |
SS |
DF |
MS |
F |
P |
A |
a |
1 |
9.999 |
0.504 |
0.498 |
B |
180.378 |
b |
60.1 |
3.029 |
0.093 |
Interaction |
8.479 |
3 |
0.142 |
0.932 |
|
Error |
158.797 |
8 |
17. How many factor levels of factor B are evaluated?
A. 1
B. 2
C. 3
D. 4
E. 16
18. What is the sample size?
A. 1
B. 2
C. 3
D. 4
E. 16
19. what is the missing value of a in the ANOVA table?
A. 4.995
B. 9.999
C. 19.839
D. 20.078
E. None of the above.
20. Given the above results, what is your conclusion?
A. Factor A and B significantly affect the response.
B. Only factor A significantly affects the response.
C. Only factor B significantly affects the response.
D. Future experiment is needed due to the interaction.
E. Neither the interaction nor the factors significantly affect the response.
17) If k and l are the number of levels of factors and b respectively then DF(SSA) = k-1, DF(SSB)=l-1, DF(interaction)=(k-1)(l-1). Given DF(SSA) = 1, thus (k-1)=1 and DF(interaction)=3. Thus (k-1)(l-1)=3 implies than (l-1)=3. Thus the number of levels of B is l=4. Hence answer is (D) 4
18) Sample size = DF(total)+1, here DF(Total)=DF(SSA)+DF(SSB)+DF(interaction)+DF(Error) = 1+3+3+8=15. Thus the sample size 16. Hence answers is E. 16
19) MSA = SSA/DF(SSA) = 9.999, thus SSA= MSA =9.999 as DF(SSA). Hence answer is B. 9.999
20) None of the factors and interaction is significant as the p-value are not significant. Hence the answer is E. Neither the interaction nor the factors significantly affect the response.
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