45 - 30 10,000 20,000 30,000 40,000 Manufacturer's Suggested Retail Price Dependent variable is MPG R-squared = 0.0216% s = 3.54 Variable Coefficient SE(Coeff) t-Ratio P-Value Intercept 36.514 1.496 24.406 <0.0001 Slope -8.089E -6 6.439E – 5 -0.1256 0.900 10 36.15 36.2 36.25 36.3 36.35 36.4 Predicted Residuals Efficiency (highway MPG) 5.
45 - 30 10,000 20,000 30,000 40,000 Manufacturer's Suggested Retail Price Dependent variable is MPG R-squared = 0.0216% s = 3.54 Variable Coefficient SE(Coeff) t-Ratio P-Value Intercept 36.514 1.496 24.406 <0.0001 Slope -8.089E -6 6.439E – 5 -0.1256 0.900 10 36.15 36.2 36.25 36.3 36.35 36.4 Predicted Residuals Efficiency (highway MPG) 5.
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
All the efficiency money can buy 2011 A sample of 84
model-2011 cars from an online information service was
examined to see how fuel efficiency (as highway mpg)relates to the cost (Manufacturer’s Suggested Retail Price
in dollars) of cars. Here are displays and computer
output:a) State what you want to know, identify the variables,
and give the appropriate hypotheses.
b) Check the assumptions and conditions.
c) If the conditions are met, complete the analysis.

Transcribed Image Text:45 -
30
10,000
20,000
30,000
40,000
Manufacturer's Suggested Retail Price
Dependent variable is MPG
R-squared = 0.0216%
s = 3.54
Variable Coefficient
SE(Coeff)
t-Ratio
P-Value
Intercept
36.514
1.496
24.406
<0.0001
Slope
-8.089E -6 6.439E – 5
-0.1256
0.900
10
36.15 36.2 36.25 36.3 36.35 36.4
Predicted
Residuals
Efficiency (highway MPG)
5.
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