Stats: Modeling the World Nasta Edition Grades 9-12
Stats: Modeling the World Nasta Edition Grades 9-12
3rd Edition
ISBN: 9780131359581
Author: David E. Bock, Paul F. Velleman, Richard D. De Veaux
Publisher: PEARSON
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Question
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Chapter PII, Problem 15RE

(a)

To determine

To write the equation of the regression line.

(a)

Expert Solution
Check Mark

Answer to Problem 15RE

  H ^orsepower=3.49834+34.3144×Weight .

Explanation of Solution

It is given in the question that researchers want to study that can we predict the horsepower of the engine that manufacturers will put in a car by knowing the weight of the car. The regression analysis is as:

  Intercept=3.49834Weight=34.3144R2=84.1%

Thus, the regression line will be defined as:

  y^=a+bxH ^orsepower=3.49834+34.3144×Weight

(b)

To determine

To explain do you think the car’s weight is measured in pounds or thousands of pounds.

(b)

Expert Solution
Check Mark

Answer to Problem 15RE

The car’s weight is measured in thousands of pounds.

Explanation of Solution

It is given in the question that researchers want to study that can we predict the horsepower of the engine that manufacturers will put in a car by knowing the weight of the car. The regression analysis is as:

  Intercept=3.49834Weight=34.3144R2=84.1%

Thus, the regression line will be defined as:

  H ^orsepower=3.49834+34.3144×Weight

Thus, we think that the car’s weight is measured in thousands of pounds because if weight was measured pounds then the residual plot would make no sense and a car with a horsepower of over 2000 is unheard of.

(c)

To determine

To explain do you think this linear model is appropriate.

(c)

Expert Solution
Check Mark

Answer to Problem 15RE

Yes, the model is appropriate.

Explanation of Solution

It is given in the question that researchers want to study that can we predict the horsepower of the engine that manufacturers will put in a car by knowing the weight of the car. The regression analysis is as:

  Intercept=3.49834Weight=34.3144R2=84.1%

Thus, the regression line will be defined as:

  H ^orsepower=3.49834+34.3144×Weight

Thus, we think that this linear model is appropriate because the residuals are well spread.

(d)

To determine

To explain how much how much horsepower does this car have.

(d)

Expert Solution
Check Mark

Answer to Problem 15RE

  115.04 horsepower this car have.

Explanation of Solution

It is given in the question that researchers want to study that can we predict the horsepower of the engine that manufacturers will put in a car by knowing the weight of the car. The regression analysis is as:

  Intercept=3.49834Weight=34.3144R2=84.1%

Thus, the regression line will be defined as:

  H ^orsepower=3.49834+34.3144×Weight

Thus, the horsepower of this car whose residual is of 22.5 horsepower weighing 2595 pounds is as:

  H ^orsepower=3.49834+34.3144×Weight=3.49834+34.3144×2595=92.54

So, we have,

  Residual=ObservedPredicted22.5=Observed92.54Observed=115.04

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