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Question: A regression and correlation analysis resulted in the following information regarding a dependent variable {y} and an independent variable {x}.
∑X = 90 ∑(Y - )(X - ) = 466
∑Y = 170 ∑(X - )2 = 234
n = 10 ∑(Y - )2 = 1434
SSE = 505.98
Question1: The least squares estimate of b1 equals
[A] -1.991
[B] -0.923
[C] 0.923
[D] 1.991
Question2: The sum of squares due to regression (SSR) is
[A] 1434
[B] 928.02
[C] 505.98
[D] 50.598
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