Question

We expect a car’s highway gas mileage to be related to its city
gas mileage (in mpg). Data for all 12091209 vehicles in the
government’s *2016 Fuel Economy Guide* give the regression
line

highway mpg=7.903+(0.993×city mpg)highway mpg=7.903+(0.993×city mpg)

for predicting highway mileage from city mileage.

(a) What is the slope of this line? (Enter your answer rounded to three decimal places.)

slope:

What does the numerical value of the slope tell you?

Highway gas mileage increases with city gas mileage by 7.9037.903 mpg for each additional mpg in city mileage.

On average, highway mileage increases by 7.9037.903 mpg for each additional mpg in city mileage.

For every 7.9037.903 mpg in city gas mileage, highway gas mileage increases about 0.9930.993 mpg.

On average, highway mileage decreases by 0.9930.993 mpg for each additional mpg in city mileage.

On average, highway mileage increases by 0.9930.993 mpg for each additional mpg in city mileage.

(b) What is the intercept? (Enter your answer rounded to three decimal places.)

intercept:

mpg

Why is the value of the intercept not statistically meaningful?

The value of the intercept is an average value calculated from a sample.

The value of the intercept represents the predicted highway mileage for slope 0.0.

The value of the intercept represents the predicted highway mileage for city gas mileage of 00 mpg, and such a car does not exist.

The value of the intercept represents the predicted highway mileage for city gas mileage of 00 mpg, and such a prediction would be invalid, since 00 is outside the range of the data.

(c) Find the predicted highway mileage, ?̂ ,y^, for a car that gets 1414 miles per gallon in the city. (Enter your answer rounded to three decimal places.)

?̂ =y^=

mpg

Find the predicted highway mileage, ?̂ ,y^, for a car that gets 2121 miles per gallon in the city. (Enter your answer rounded to three decimal places.)

?̂ =y^=

mpg

Answer #1

As we know the regression line is y=intercept +slope*x

Now we have given that highway mpg=7.903+(0.993×city mpg)

a. Hence slope is 0.993

Answer here is

On average, highway mileage increases by 0.993 mpg for each additional mpg in city mileage.

b. Here intercept is 7.903

Answer here is

The value of the intercept represents the predicted highway mileage for city gas mileage of 00 mpg, and such a car does not exist.

c. For x=14, y=7.903+(0.993×14)=21.805

For x=21, y=7.903+(0.993×21)=28.756

We expect a car’s highway gas mileage to be related to its city
gas mileage (in mpg). Data for all 1209 vehicles in the
government’s 2016 Fuel Economy Guide give the regression
line
highway mpg=7.903+(0.993×city mpg)
for predicting highway mileage from city mileage.
(a) What is the slope of this line? (Enter your answer rounded
to three decimal places.)
slope:
What does the numerical value of the slope tell you?
On average, highway mileage decreases by 0.993 mpg for each...

We expect a car’s highway gas mileage to be related to its city
gas mileage (in mpg). Data for all 1209 vehicles in the
government’s 2016 Fuel Economy Guide give the regression
line
highway mpg=7.903+(0.993×city mpg)
for predicting highway mileage from city mileage.
(a) What is the slope of this line? (Enter your answer rounded
to three decimal places.)
slope:
What does the numerical value of the slope tell you?
On average, highway mileage increases by 0.993 mpg for each...

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Say in words what the numerical value of the slope tells us....

We expect a car's highway gas mileage to be related to its city
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in the government's Fuel Economy Guide give the regression
line
highway mpg = 6.785 + (1.033 * city mpg)
for predicting highway mileage from city mileage.
(a) What is the slope of this line? (Enter your answer to three
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mpg
Say in words what the numerical value of the slope tells us.
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