Concept explainers
(a)
To write the equation of the regression line.
(a)
Answer to Problem 15RE
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
Thus, the regression line will be defined as:
(b)
To explain do you think the car’s weight is measured in pounds or thousands of pounds.
(b)
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:
Thus, the regression line will be defined as:
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
(c)
To explain do you think this linear model is appropriate.
(c)
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:
Thus, the regression line will be defined as:
Thus, we think that this linear model is appropriate because the residuals are well spread.
(d)
To explain how much how much horsepower does this car have.
(d)
Answer to Problem 15RE
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:
Thus, the regression line will be defined as:
Thus, the horsepower of this car whose residual is of
So, we have,
Chapter PII Solutions
Stats: Modeling the World Nasta Edition Grades 9-12
Additional Math Textbook Solutions
Introductory Statistics
Statistics for Psychology
Statistics: The Art and Science of Learning from Data (4th Edition)
Elementary Statistics: Picturing the World (7th Edition)
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