The Following MINITAB Output Presents the Least Squares Regression Line $$\text { Commodity }=30.483819+1.633495 \text { Oil }$$

question 2

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
$$\text { Commodity }=30.483819+1.633495 \text { Oil }$$


$\begin{array}{lrrrr}\text { Predictor } & \text { Coef } & \text { SE Coef } & \mathrm{T} & \mathrm{P} \\\text { Constant } & 30.483819 & 33.659605 & 0.90565 & 0.416341 \\\text { Oil } & 1.633495 & 0.33602 & 4.861308 & 0.008272 \\\hline\end{array}$

Write the equation of the least-squares regression line.

• A) y=30.483819+1.633495 x
• B) y=0.90565+4.861308 x
• C) y=0.416341+0.008272 x
• D) y=1.633495+30.483819 x

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