document.write( "Question 1104771: In a study, nine tires of a particular brand were driven on a track under identical conditions. Each tire was driven a particular controlled distance (measured in thousands of miles) and the tread depth was measured after the drive. Tread depth is measured in “mils.” Here, 1 mil is 0.001 inch. The least-squares regression line was computed and added to a scatterplot of these data. On the plot, one data point is marked with an “X.” The equation of the least-squares regression line is:
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\n" ); document.write( "Tread depth = 360.64 – 11.39x (thousands of miles)\r
\n" ); document.write( "\n" ); document.write( "Also, r2 = 0.953. We might feel comfortable using the least-squares regression equation to predict tread depth for a tire driven: \n" ); document.write( "

Algebra.Com's Answer #719652 by Theo(13342) $\"\"$ $\"About$

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on the test track, i would probably say yes, with some caveats explained in the following reference.\r
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\n" ); document.write( "\n" ); document.write( "in the real world, where conditions can vary considerably from the test track conditions, you might find that the r^2 is less, meaning that the formula may not model the reality as closely.\r
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\n" ); document.write( "\n" ); document.write( "http://blog.minitab.com/blog/adventures-in-statistics-2/regression-analysis-how-do-i-interpret-r-squared-and-assess-the-goodness-of-fit \n" ); document.write( "

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