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# The Following MINITAB Output Presents the Least Squares Regression Line $\text { Commodity }=85.175996+1.11437 \text { Oil }$

Question 27
Multiple Choice
Question 27
Multiple Choice

## The following MINITAB output presents the least squares regression line for predicting the price of a certain commodity from the price of a barrel of oil.The regression equation is$\text { Commodity }=85.175996+1.11437 \text { Oil }$$\begin{array}{lrrrr}\text { Predictor } & \text { Coef } & \text { SE Coef } & \text { T } & \text { P } \\\text { Constant } & 85.175996 & 67.294333 & 1.265723 & 0.274315 \\\text { Oil } & 1.11437 & 0.666536 & 1.671882 & 0.169866\end{array}$Write the equation of the least-squares regression line.

A) $y = 85.175996 + 1.11437 x$
B) $y = 1.265723 + 1.671882 x$
C) $y = 0.274315 + 0.169866 x$
D) $y = 1.11437 + 85.175996 x$

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