1)
a)
DF for regression =no. of predictors = 4
b)
DF for residuals=N-no. of predictors-1 = 80-4-1=75
2)
a) MSR=SSR/DF= 2986.15 / 4 = 746.538
b) MSE=SSE/DF = 7346.05 /75 = 97.947
3)
Anova table | ||||
variation | SS | df | MS | F-stat |
regression | 2986.15 | 4 | 746.538 | 7.6218 |
error, | 7346.05 | 75 | 97.947 | |
total | 10332.20 | 79 |
step 1
Ho: overall regression model is not significant
H1: overall regression model is significant
step 2
F-stat=MSR/MSE = 7.62
step 3
F-critical value = 2.49 (using F-table ,alpha=0.05,df=4,75)
step 4-
|F-stat|>f-critical ,then reject Ho, otherwise not
step 5
since F-stat > F-critical , so, rejct Ho
hence, overall regression model is significant.
4)
for variable algebra,p-value=0.001 < alpha=0.05
so, it is significantly different from zero
for variable ATC math,p-value=0.0551>alpha=0.05, so, not significnat
fir variable ATC science,p-value = 0.492>alpha=0.05,s0 not significant
for variable, HS rank, p value=.0.196>alpha=0.05,so also not significant
so, only algebra grade is significant in explaining the variation on calculus grade
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