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Oil Quality and Price
Quality of Oil Is Measured in API

question 40

Essay

Oil Quality and Price
Quality of oil is measured in API gravity degrees--the higher the degrees API,the higher the quality.The table shown below is produced by an expert in the field who believes that there is a relationship between quality and price per barrel.
 Oi degrees API  Price per barrel (in $) 27.012.0228.512.0430.812.3231.312.2731.912.4934.512.7034.012.8034.713.0037.013.0041.013.1741.013.1938.813.2239.313.27\begin{array} { | c | c | } \hline \text { Oi degrees API } & \text { Price per barrel (in \$) } \\\hline 27.0 & 12.02 \\28.5 & 12.04 \\30.8 & 12.32 \\31.3 & 12.27 \\31.9 & 12.49 \\34.5 & 12.70 \\34.0 & 12.80 \\34.7 & 13.00 \\37.0 & 13.00 \\41.0 & 13.17 \\41.0 & 13.19 \\38.8 & 13.22 \\39.3 & 13.27 \\\hline\end{array} A partial Minitab output follows:
 Dascriptive atafistics  Variable N Mean  StDev  SE Mean  Degrees 1334.604.6131.280 Price 1312700.7570.127\begin{array}{l}\text { Dascriptive atafistics }\\\begin{array} { l l l l l } \text { Variable } & \mathrm { N } & \text { Mean } & \text { StDev } & \text { SE Mean } \\\text { Degrees } & 13 & 34.60 & 4.613 & 1.280 \\\text { Price } & 13 & 1270 & 0.757 & 0.127\end{array}\end{array} Covariances  Degeres  Price  Degeres 21.281667 Price 2.0267500.208933\begin{array}{l}\begin{array} { l l } \text {Covariances }\\&\text { Degeres } & \text { Price } \\\text { Degeres }&21.281667 & \\\text { Price } &2.026750 & 0.208933\end{array}\end{array}  Rederatian Antalyis  predictor  Caef  StDev  T  P Cunstant 9.43490.286732.910.000 Degrees 0.0952350.00822011.590.000S=0.1314RSq=92.46%RSq(adj)=91.7%\begin{array}{l}\begin{array} { l l l r } \text { Rederatian Antalyis } & & \\\text { predictor } & \text { Caef } & \text { StDev } & \text { T }&\text { P} \\\text { Cunstant } & 9.4349 & 0.2867 & 32.91&0.000 \\\text { Degrees } & 0.095235 &0 .008220 & 11.59&0.000\end{array}\\\\S =0 .1314 \quad R - S q = 92.46 \% \quad R - S q ( a dj ) = 91.7 \%\end{array}  Analysis of Variance  Surce  DF  SS  MS  F P Regeression 12.31622.3162134.240.000 Residual Error 110.18980.0173 Total 122.5060\begin{array}{l}\text { Analysis of Variance }\\\begin{array} { l l r r r } \text { Surce } & \text { DF } & \text { SS } & \text { MS } & \text { F } &\text {P}\\\text { Regeression } & 1 & 2.3162 & 2.3162 & 134.24 &0.000\\\text { Residual Error } & 11 & 0.1898 & 0.0173 & \\\text { Total } & 12 & 2.5060 & &\end{array}\end{array}
-{Oil Quality and Price Narrative} Use the regression equation y~=9.4349+0.095235x\tilde { y } = 9.4349 + 0.095235 x to determine the predicted values of y.


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