The Data in the Table Represent the Amount of Raw$\begin{array}{l} \text { LinReg }\\ y=a+b x \\ a=-2.376991175 \\ b=2.192699333 \\ r^{2}=.9806834986 \\ r=.9902946524 \end{array}$

The Answer of The Data in the Table Represent the Amount of Raw$\begin{array}{l} \text { LinReg }\\ y=a+b x \\ a=-2.376991175 \\ b=2.192699333 \\ r^{2}=.9806834986 \\ r=.9902946524 \end{array}$

The Data in the Table Represent the Amount of Raw$\begin{array}{l} \text { LinReg }\\ y=a+b x \\ a=-2.376991175 \\ b=2.192699333 \\ r^{2}=.9806834986 \\ r=.9902946524 \end{array}$

The Answer of The Data in the Table Represent the Amount of Raw$\begin{array}{l} \text { LinReg }\\ y=a+b x \\ a=-2.376991175 \\ b=2.192699333 \\ r^{2}=.9806834986 \\ r=.9902946524 \end{array}$

Solved

The Data in the Table Represent the Amount of Raw

question 9

Multiple Choice

The data in the table represent the amount of raw material (in tons) put into an injection moldingmachine each day (x) , and the amount of scrap plastic (in tons) that is collected from the machineevery fourweeks (y) .Also shown below are the outputs from two different statistical technologies(TI-83/84 Calculator and Excel) . A scatterplot of the data confirms that there is a linear association.Report the equation for predicting scrap from raw material using words such as scrap, notxandy.State the slope and intercept of the prediction equation. Round all calculations to the nearesthundredth
$\begin{array}{|c|c|}\hline x & y \\\hline 2.71 & 3.61 \\\hline 2.33 & 2.80 \\\hline 2.33 & 2.77 \\\hline 2.21 & 2.34 \\\hline 2.11 & 2.15 \\\hline 2.08 & 2.06 \\\hline 1.98 & 2.02 \\\hline 1.95 & 1.95 \\\hline 1.84 & 1.73 \\\hline 1.84 & 1.68 \\\hline\end{array}$

$\begin{array}{l}\text { LinReg }\\y=a+b x \\a=-2.376991175 \\b=2.192699333 \\r^{2}=.9806834986 \\r=.9902946524\end{array}$

$\begin{array}{|l|r|}\hline & \text { Coefficients } \\\hline \text { Intercept } & -2.376991175 \\\hline \text { X Variable 1 } & 2.192699333 \\\hline\end{array}$

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