A regression and correlation analysis resulted in the following information regarding a dependent variable ( y) and an independe
nt variable ( x). Σx = 90 Σ(y - )(x - ) = 466 Σy = 170 Σ(x - )2 = 234 n = 10 Σ(y - )2 = 1434 SSE = 505.98 The sum of squares due to regression (SSR) is
1 answer:
Answer:
The sum of squares due to regression(SSR)=928.02
Step-by-step explanation:
We are given that
Dependent variable=y
Independent variable=x
n=10
SSE=505.98
We have to find the sum of squares due to regression.
It means we have to find SSR.
SST=
Hence, the sum of squares due to regression(SSR)=928.02
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