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The following regression equation was computed from a sample of 25 observations: Y = 26-6x SSE was found to be 130, and SS t
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Answer #1

n=25

Source ss df MS   F
Regression 290 1 290 51.31
Error 130 23 5.65
Total 420 24

a) standard error of estimate = SSE Vdf = 130 = 2.3774

se= 2.3774

b) Determine coefficient of determination = R2 = SSE 1- SST

R2 = 0.69

c) determine coefficient of correlation = negative square root of r ( since slope of regression line is negative)

r = - 0.831

The sign of r is Negative because the sign of b is negative

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