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An Investigation of the Relationship Between Traffic Flow X (1000's μg/g\mu g / g

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An investigation of the relationship between traffic flow x (1000's of cars per 24 hours) and lead content y bark on trees near the highway ( μg/g\mu g / g dry wt) yielded the data in the accompanying table. x8.38.312.112.117.017.017.024.324.324.333.6y2273123625216405397289457387591263\begin{array} { l c c c c c c c c c c c } \hline x & 8.3 & 8.3 & 12.1 & 12.1 & 17.0 & 17.0 & 17.0 & 24.3 & 24.3 & 24.3 & 33.6 \\\hline y & 227 & 312 & 362 & 521 & 640 & 539 & 728 & 945 & 738 & 759 & 1263 \\\hline\end{array} The summary statistics are: n=11,xi=198.3,yi=7034n=11, \sum x_{i}=198.3, \sum y_{i}=7034
, xi2=4198.03,yi2=5,390,382,xiyi=149,354.4\sum x _ { i } ^ { 2 } = 4198.03 , \sum y _ {i } ^ { 2 } = 5,390,382 , \sum x _ { i } y _ { i } = 149,354.4 In addition, the least squares estimates are given by: β^0=12.84159, and β^1=36.18385\hat { \beta } _ { 0 } = - 12.84159 \text {, and } \hat { \beta } _ { 1 } = 36.18385 Carry out the model utility test using the ANOVA approach for the traffic flow/lead-content data of Example 12.6. Verify that it gives a result equivalent to that of the t test.

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SSE = 5,390,382 - (-12.84159)(7034)-(36....

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