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NARRBEGIN: Oil Quality and Price
Oil Quality and Price
Quality

question 62

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NARRBEGIN: Oil Quality and Price
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.  Oil 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 { Oil 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 Mear  StDev  SE Mear  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 { Mear } & \text { StDev } & \text { SE Mear } \\\text { Degrees } & 13 & 34.60 & 4.613 & 1.280 \\\text { Price } & 13 & 1270 & 0.757 & 0.127\end{array}\end{array}
 Bavarifinces  Degrees  Price  Degrees 21.281667 Price 2.0267500208837\begin{array}{lll} \text { Bavarifinces }\\& \text { Degrees } & \text { Price } \\\text { Degrees } & 21.281667 & \\\text { Price } & 2.026750 & 0208837\end{array}  Rederatian Antalyis  predictor  Coef  StDev  T  P Constant 9.43490.286732.910.000 Degrees 0.0952350.00822011.590.000S=0.1314RSq=92.46%RSq(ad)=91.7%\begin{array}{l}\text { Rederatian Antalyis }\\\begin{array} { l l l r } \text { predictor } & \text { Coef } & \text { StDev } & \text { T } & \text { P} \\\text { Constant } & 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 d ) = 91.7 \%\end{array}  Analysis of Variance  Source  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 { Source } & \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} NARREND
-{Oil Quality and Price Narrative} Plot the residuals against the predicted values y^\hat { y } .


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