R3.4 Stats teachers' cars A random sample of AP Statistics teachers was asked to report the age (in years) and mile- age of their primary vehicles. A scatterplot of the data, a least-squares regression printout, and a residual plot are provided below. Rd- Rd a -Is HO w 21-2- dege of bed se of Coe ie p LII Vi Coicie 1 Give the equation of the least-squares regression line for these data. Identify any variables you use (b) One teacher reported that her 6-year-old car had 65,000 miles on it. Find its residual. (c) (a) Interpret the slope of the line in context. |!!

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R3.4 Stats teachers' cars A random sample of AP Statistics
teachers was asked to report the age (in years) and mile-
age of their primary vehicles. A scatterplot of the data, a
least-squares regression printout, and a residual plot are
provided below.
Rspuared - 12.0 Rsqared (aljusted) -SLIN
120 with 21 -2-19 degrees of freedom
Coefficient se. of Coeff atio prob
72854
4
Variable
Cotat
6591
1249
LII
931 0001
120000
as se S
25 se 75 e
(a) Give the equation of the least-squares regression
line for these data. Identify any variables you use
(b) One teacher reported that her 6-year-old car had
65,000 miles on it. Find its residual.
(c)
Interpret the slope of the line in context.
(d) What's the correlation between car age and mil
age? Interpret this value in context.
(e) How well does the regression line fit the data? Jus-
tify your answer using the residual plot and s.
Transcribed Image Text:R3.4 Stats teachers' cars A random sample of AP Statistics teachers was asked to report the age (in years) and mile- age of their primary vehicles. A scatterplot of the data, a least-squares regression printout, and a residual plot are provided below. Rspuared - 12.0 Rsqared (aljusted) -SLIN 120 with 21 -2-19 degrees of freedom Coefficient se. of Coeff atio prob 72854 4 Variable Cotat 6591 1249 LII 931 0001 120000 as se S 25 se 75 e (a) Give the equation of the least-squares regression line for these data. Identify any variables you use (b) One teacher reported that her 6-year-old car had 65,000 miles on it. Find its residual. (c) Interpret the slope of the line in context. (d) What's the correlation between car age and mil age? Interpret this value in context. (e) How well does the regression line fit the data? Jus- tify your answer using the residual plot and s.
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