Question

An engineer wants to determine how the weight of a​ gas-powered car,​ x, affects gas​ mileage,...

An engineer wants to determine how the weight of a​ gas-powered car,​ x, affects gas​ mileage, y. The accompanying data represent the weights of various domestic cars and their miles per gallon in the city for the most recent model year.

Weight (pounds), x   Miles per Gallon, y
3787   18
3798   17
2725   24
3460   19
3334   20
3028   24
3808   18
2703   25
3570   19
3836   17
3370   18

​(a) Find the​ least-squares regression line treating weight as the explanatory variable and miles per gallon as the response variable.

ŷ =−0.00669 x + 42.68

​(Round the x coefficient to five decimal places as needed. Round the constant to two decimal places as​ needed.)

​(b) Interpret the slope and​ y-intercept, if appropriate. Choose the correct answer below and fill in any answer boxes in your choice.

​(Use the answer from part a to find this​ answer.)

A.

For every pound added to the weight of the​ car, gas mileage in the city will decrease by __?__ mile(s) per​ gallon, on average. A weightless car will get __?__miles per​ gallon, on average.

B.

A weightless car will get __?__miles per​ gallon, on average. It is not appropriate to interpret the slope.

C.

For every pound added to the weight of the​ car, gas mileage in the city will decrease by __?__mile(s) per​ gallon, on average. It is not appropriate to interpret the​ y-intercept.

D.

It is not appropriate to interpret the slope or the​ y-intercept.

Homework Answers

Answer #1

(a)

From the given data, the following Table is calculated:

X Y XY X2
3787 18 68166 14341369
3798 17 64566 14424804
2725 24 65400 7425625
3460 19 65740 11971600
3334 20 66680 11115556
3028 24 72672 9168784
3808 18 68544 14500864
2703 25 67575 7306209
3570 19 67830 12744900
3836 17 65212 14714896
3370 18 60660 11356900
Total = 37419 219 733045 129071507

So,

Least Square Regression line is:

(b)

Correct option:

C.   For every pound added to the weight of the car, gas mileage in the city will decrease by 0.00669 miles per gallon, on average. It is not appropriate to interpret the y - intercept.

Reason: Weightless car does not exist.

Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
An engineer wants to determine how the weight of a​ car, x, affects gas​ mileage, y....
An engineer wants to determine how the weight of a​ car, x, affects gas​ mileage, y. The following data represent the weights of various cars and their miles per gallon. A B C D E 2600 3070 3450 3735 4180 30.1 26.5 21 22.1 17.7 (a) Find the​ least-squares regression line treating weight as the explanatory variable and miles per gallon as the response variable. Write the equation for the​ least-squares regression line. (b) Interpret the slope and​ intercept, if...
An engineer wants to determine how the weight of a gas-powered car, x, affects gas mileage,...
An engineer wants to determine how the weight of a gas-powered car, x, affects gas mileage, y. The accompanying data represent the weights of various domestic cars and their miles per gallon in the city for the most recent model year. Complete parts (a) through (d) below. LOADING... Click here to view the weight and gas mileage data. (a) Find the least-squares regression line treating weight as the explanatory variable and miles per gallon as the response variable. ModifyingAbove y...
We expect a car’s highway gas mileage to be related to its city gas mileage (in...
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...
We expect a car's highway gas mileage to be related to its city gas mileage (in...
We expect a car's highway gas mileage to be related to its city gas mileage (in miles per gallon, mpg). Data for all 1137 vehicles in the government's 2013 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 decimal places.) ____mpg 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 gas mileage (in...
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...
We expect a car's highway gas mileage to be related to its city gas mileage (in...
We expect a car's highway gas mileage to be related to its city gas mileage (in miles per gallon, mpg). Data for all 1137 vehicles 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 decimal places.) mpg Say in words what the numerical value of the slope tells us. Highway...
A car has a gas mileage listing of 28 miles per gallon. You take the car...
A car has a gas mileage listing of 28 miles per gallon. You take the car out on 56 trips and find the average gas mileage to be 25 with a standard deviation of 6 mpg. a) At the .01 level is the car getting gas mileage less than expected? (p = 0) b) True or false: natural variability is the reason for the change in gas mileage Answer:
10. Suppose a car is chosen at random. Let X be the weight of the car...
10. Suppose a car is chosen at random. Let X be the weight of the car (in hundreds of pounds) and let Y be the miles per gallon. X Y 27 30 44 19 32 24 47 13 23 29 40 17 34 21 52 14 a. Find b (the slope of the line of best fit) ___________________ b. Find a (the y-intercept of the line of best fit) ___________________
Weight in pounds, X Miles per Gallon, Y 3779 16 3938 15 2628 26 3616 20...
Weight in pounds, X Miles per Gallon, Y 3779 16 3938 15 2628 26 3616 20 3397 21 2910 22 3733 16 2521 24 3481 19 3881 17 3367 19 a) Find the​ least-squares regression line treating weight as the explanatory variable and miles per gallon as the response variable. y=__x + __ b) Interpret the slope and y-intercept, if appropriate
A linear model to predict the Price of a used car​ (in $) from its Mileage​...
A linear model to predict the Price of a used car​ (in $) from its Mileage​ (in miles) was fit to 33 used cars that were available during a​ one-week period within 200 miles of a particular city. The model is shown below. Complete parts a through g below. Price=21,253.54−0.11024 Mileage ​a) What is the explanatory​ variable? A.​Price, because the mileage of the car is used to predict the price B.​Price, because the price of the car is used to...