In a study, nine tires of a particular brand were driven on a track under identi
ID: 3126649 • Letter: I
Question
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: tread depth = 360.64 - 11.39x (thousands of miles)
r^2= 0.953
The least-squares line would predict that the tread depth of a tire driven 16 thousand miles would be:
A. 360.64 mils
B. 260.5 mils
C. -181,879 mils
D. 178.4 mils
Explanation / Answer
Given that,
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:
tread depth = 360.64 - 11.39x (thousands of miles)
r^2= 0.953
The least-squares line would predict that the tread depth of a tire driven 16 thousand miles would be:
tread depth = 360.64 - 11.39x16
tread depth = 178.4 miles
Option D) is correct.
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