Ans:
df(regression)=1
df(error)=18-2=16
Standard error of estimate=15=sqrt(MSE)
MSE=225
SSE=225*16=3600
Now,
R^2=SSR/(SSR+SSE)
0.76=SSR/(SSR+3600)
0.76*SSR+2736=SSR
0.24*SSR=2736
SSR=2736/0.24=11400
Source | df | SS | MS |
Regression | 1 | 11400 | 11400 |
Residual | 16 | 3600 | 225 |
Total | 17 | 15000 |
Check my work On the first statistics exam, the coefficient of determination between the hours studied...
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