MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN: 9781119256830
Author: Amos Gilat
Publisher: John Wiley & Sons Inc
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  • The U.S. Department of Energy’s Fuel Economy Guide provides fuel efficiency data for cars and trucks. The following regression output was obtained for a sample of 45 cars. The variable of interest is highway miles per gallon (Hwy MPG). The independent variables used in the analysis are as follows:

The class of the vehicle: Compact, Midsize or Large. Midsize = 1 if the car is a midsize, 0 otherwise. Similarly, Large = 1 if it is a large car, 0 otherwise.

Displcement: The engine displacement (size) in liters

Premium: Equals 1 if premium fuel is used, 0 if regular fuel is used

Cylinders: Number of cylinders

 

Regression Statistics

 

 

 

 

 

 

Multiple R

0.90

 

 

 

 

 

R Square

 

 

 

 

 

 

Adjusted R Square

0.79

 

 

 

 

 

Standard Error

1.78

 

 

 

 

 

Observations

45

 

 

 

 

 

 

 

 

 

 

 

 

ANOVA

 

 

 

 

 

 

 

df

SS

MS

F

Significance F

 

Regression

5

536.75

107.35

33.85

0.00

 

Residual

39

123.70

3.17

 

 

 

Total

44

660.44

 

 

 

 

 

 

 

 

 

 

 

 

Coefficients

Standard Error

t Stat

P-value

Lower 95%

Upper 95%

Intercept

28.40

1.26

22.48

0.00

25.85

30.96

Displacement

0.30

0.70

0.43

0.67

-1.12

1.71

Cylinders

-0.94

0.39

-2.40

0.02

-1.74

-0.15

Midsize

4.92

0.78

6.33

0.00

3.35

6.49

Large

1.88

0.75

2.51

0.02

0.37

3.40

Premium

-0.79

0.60

-1.33

0.19

-2.00

0.41

 

  •  Suppose that a compact car has a 2.0 liter engine with 4 cylinders and uses premium fuel. Calculated the expected fuel efficiency of the car.
  • How would you interpret the coefficient of “Large”?
  • Which independent variables are significant at the 5% level and why?
  • Calculate the missing R2 and comment on the goodness of fit.
  • What is the 95% confidence interval for the coefficient of Displacement?
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