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 = 234n = 10?(y - )2 = 1434SSE = 505.98?
The least squares estimate of the intercept or b0 equals
A. .923.
B. 1.991.
C. -1.991.
D. -.923.
Answer: D
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