Exhibit 12-9
a Regression and Correlation Analysis Resulted in the Following

question 127

Multiple Choice

Exhibit 12-9
A regression and correlation analysis resulted in the following information regarding a dependent variable y) and an independent variable x) .
$\begin{array}{ll}\Sigma \mathrm{X}=90 & \Sigma \mathrm{Y}-{\bar{\mathrm{Y}}) X}-\bar{X}) =466 \\\Sigma \mathrm{Y}=170 & \Sigma \mathrm{Y}-\overline{\mathrm{Y}}) ^{2}=1434 \\\mathrm{n}=10\\\mathrm{SSE}=505.98 & \Sigma \mathrm{X}-\bar{X}) ^{2}=234 \end{array}$

-Refer to Exhibit 12-9. The least squares estimate of b? equals

• A) 0.923
• B) 1.991
• C) -1.991
• D) -0.923

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