A major car magazine has recently collected data on 30 leading cars in the U.S. market. It is interested in building a multiple regression model to explain the variation in highway miles. The following correlation matrix has been computed from the data collected: mileage, highway mileage, city Curb Weight cylinders Horsepower mileage, highway 0.85755059 mileage, city 8 -0.73911056 Curb Weight 6-0.70765104 |-0.69483714-0.86613505 cylinders 60.596475711 -0.54917295-0.68419919 0.29320238 0.84034721 Horsepower 61 5 The analysts also produced the following multiple regression output using curb weight, cylinders, and horsepower as the three independent variables. Note that a number of the output fields are missing, but can be determined from the information provided

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A major car magazine has recently collected data on 30 leading cars in the U.S. market. It is interested in building a multiple
regression model to explain the variation in highway miles. The following correlation matrix has been computed from the data
collected:
mileage,
highway mileage, city Curb Weight cylinders
Horsepower
mileage,
highway
1
0.85755059
mileage, city
-0.73911056
Curb Weight
6-0.70765104
1
|-0.69483714-0.86613505
cylinders
60.596475711
|-0.54917295-0.68419919 0.29320238 0.84034721
9
Horsepower
7
The analysts also produced the following multiple regression output using curb weight, cylinders, and horsepower as the three
independent variables. Note that a number of the output fields are missing, but can be determined from the information provided.
SUMMARY OUTPUT
Regression Statistics
0817375723
Multiple R
R Square
Adjusted R Square
Standard Error
Observations
30
ANOVA
SS
MS
Signficance F
Regression
Transcribed Image Text:A major car magazine has recently collected data on 30 leading cars in the U.S. market. It is interested in building a multiple regression model to explain the variation in highway miles. The following correlation matrix has been computed from the data collected: mileage, highway mileage, city Curb Weight cylinders Horsepower mileage, highway 1 0.85755059 mileage, city -0.73911056 Curb Weight 6-0.70765104 1 |-0.69483714-0.86613505 cylinders 60.596475711 |-0.54917295-0.68419919 0.29320238 0.84034721 9 Horsepower 7 The analysts also produced the following multiple regression output using curb weight, cylinders, and horsepower as the three independent variables. Note that a number of the output fields are missing, but can be determined from the information provided. SUMMARY OUTPUT Regression Statistics 0817375723 Multiple R R Square Adjusted R Square Standard Error Observations 30 ANOVA SS MS Signficance F Regression
SUMMARY OUTPUT
Regression Statistics
0817375723
Multiple R
R Square
Adjusted R Square
Standard Error
Observations
30
ANOVA
SS
MS
F
Significance F
Regression
Residual
Total
26
167.9951613
29 506.1666667
Lower 95%
Standard Enor
3.421673506 13.80114562 1.78E-13
0.001308628
0.760908438
0.012343873
Coefficients
t Stat
P-value
Upper 9596
Intercept
Curb Weight
cylinders
Horse Power
47.22301432
0.004930366
0.20096439
0016090908
Based on the information provided, the three independent variables explain approximately 67 percent of the variation in the highway
mileage among these 30 cars.
Seleccione una:
Verdadero
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Transcribed Image Text:SUMMARY OUTPUT Regression Statistics 0817375723 Multiple R R Square Adjusted R Square Standard Error Observations 30 ANOVA SS MS F Significance F Regression Residual Total 26 167.9951613 29 506.1666667 Lower 95% Standard Enor 3.421673506 13.80114562 1.78E-13 0.001308628 0.760908438 0.012343873 Coefficients t Stat P-value Upper 9596 Intercept Curb Weight cylinders Horse Power 47.22301432 0.004930366 0.20096439 0016090908 Based on the information provided, the three independent variables explain approximately 67 percent of the variation in the highway mileage among these 30 cars. Seleccione una: Verdadero Falso
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