In: Math
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The Question:
For some Mechanical Engineer students, data for 224 student’s GPAs in their first 4 semesters of college were compared using several predictors, namely HSM, HSS, HSE, SATM, and SATV. Here significant level α is 0.05.
Then, the researcher fit a regression model and got the following results (intercept is included in the model):
ANOVA Table
Source |
DF |
Sum of Squares |
Mean Squares |
F ratio |
Model(Reg) |
(A) |
(D) |
(E) |
(F) |
Error(Residual) |
(B) |
105.65 |
0.4846433 |
Prob>F |
Total |
(C) |
135.46 |
<0.001 |
Parameter Estimates Table
Term |
Estimate |
Std Error |
t Ratio |
Prob>|t| |
Intercept |
0.2187920884 |
0.40332538 |
0.54 |
0.5880 |
HSM |
0.1464842907 |
0.03900487 |
(G) |
0.0002 |
HSS |
0.0274662163 |
0.03728366 |
0.74 |
0.4621 |
HSE |
0.0770581216 |
0.03929423 |
1.96 |
0.0511 |
SATM |
0.0009273573 |
0.00067983 |
1.36 |
0.1739 |
SATV |
.0004012914 |
0.00058484 |
-0.69 |
0.4933 |
a.
Source |
DF |
Sum of Squares |
Mean Squares |
F ratio |
Model(Reg) |
5 |
135.46-105.65=29.81 |
29.81/5=5.962 | 5.962/0.4846433=12.30183 |
Error(Residual) |
223-5=218 |
105.65 |
0.4846433 |
Prob>F |
Total |
224-1=223 |
135.46 |
<0.001 |
(A)=5, (B)=218, (C)=223, (D)=29.81, (E)=5.962, (F)=12.30183 and (G)=(0.1464842907) / (0.03900487) =3.76
b.
c.
d.
e. Since p-value of F test <0.05 so there is sufficient evidence that this is a significant mode .
f. HSM is only significant predictor since its p-value= 0.0002 <0.05 and other predictor are not significant at 5% level of significance. Though HSE is significant at 10% level of significant (since its p-value=0.0511<0.1).