Compute the Least-Squares Regression Line for Predicting Y from X $$\begin{array} { l l l } \bar { x } = 6.7 & s _ { x } = 1.6 & \bar { y } = 23.8 \\s _ { y } = 6.5 & r = 0.93 & \\\end{array}$$

question 9

Multiple Choice

Compute the least-squares regression line for predicting y from x given the following summary statistics:
$$\begin{array} { l l l } \bar { x } = 6.7 & s _ { x } = 1.6 & \bar { y } = 23.8 \\s _ { y } = 6.5 & r = 0.93 & \\\end{array}$$

• A) \(y = - 1.5133 + 3.7781 x\)
• B) \(y = - 1.5133 + 0.2289 x\)
• C) \(y = 0.2289 - 1.5133 x\)
• D) \(y = 3.7781 - 1.5133 x\)

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Definitions:

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A small amount of money awarded by a court to recognize that a legal wrong has occurred, but no substantial harm was done.

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Compensation awarded for losses suffered due to reasonable reliance on a promise or agreement that was later breached.

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