Question
In: Statistics and Probability
The table shows a short excerpt from the "car weight and mileage" data file on the...
The table shows a short excerpt from the "car weight and mileage" data file on the text CD. That file lists several 2004 model cars with automatic transmission and their x = weight (in pounds) and y = mileage (miles per gallon of gas). The scatterplot is roughly linear and r = -0.74. The regression equation is = 47.140 - 0.0051x.
| Automobile Brand | Weight | Mileage |
|---|---|---|
| Honda Accord Sedan LX | 3137 | 35 |
| Toyota Corolla | 2583 | 40 |
| Dodge Dakota Club Cab | 3869 | 20 |
| Jeep Grand Cherokee Laredo | 4002 | 19 |
| Hummer H2 | 6387 | 19 |
(a) Find the predicted mileage and residual for a Hummer H2.
| y^ | = (2 decimal places) |
| Residual | = (2 decimal places) |
(b) Use this information in a sentence.
The Hummer gets miles/gallon ---Select--- (fewer) (more)
than one would predict.
(c) % (Enter a number between 0 and 100; 2 decimal
places) of the variability in ---Select--- (Mileage)
(Weight) can be explained by ---Select--- (Mileage)
(Weight)
Solutions
orchestra answered 2 years agoRelated Solutions
The weight of a car can influence the mileage that the car can obtain. A random...
The weight of a car can influence the mileage that the car can
obtain. A random sample of 20 cars was taken and the weight (in
pounds) and mileage (in mpg) were recorded and are in the table
below.
X, weight
Y, mileage
4000
23.1
4500
17.2
4500
19.5
2250
53.3
2750
46.9
3500
31.3
4500
17
4000
23.6
2750
36.3
3000
31.5
3000
31.4
3000
32.2
4000
23.4
2500
40.9
3000
31.4
3500
31.3
3500
32.6
3000
32.2
2250...
The weight of a car can influence the mileage that the car can obtain. A random...
The weight of a car can influence the mileage that the car can
obtain. A random sample of 20 cars’ weights and mileage is
collected. The table for the weight and mileage of the cars is
given below. Use Excel to find the best fit linear regression
equation, where weight is the explanatory variable. Round the slope
and intercept to three decimal places.
Weight Mileage
30.0 32.2
20.0 56.0
20.0 46.2
45.0 19.5
40.0 23.6
45.0 16.7
25.0 42.2
55.0 ...
1, An engineer wanted to determine how the weight of a car affects gas mileage. The...
1, An engineer wanted to determine how the weight of a car
affects gas mileage. The accompanying data represent the weights of
various domestic cars and their gas mileage in the city for a
certain model year. Suppose that we add Car 12 to the original
data. Car 12 weighs 3,305 pounds and gets 19 miles per gallon.
Complete parts(a) through (f) below.
Car
Weight (lbs)
Miles per Gallon
1
3765
19
2
3984
18
3
3590
21
4
3175...
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.
Car
A
B
C
D
E
Weight? (pounds), x
25452545
31003100
34103410
37703770
40404040
Miles per? Gallon, y
25.225.2
23.923.9
19.619.6
18.518.5
14.314.3
?(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...
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.
Car Weight (pounds), x Miles per Gallon,
y
A 2695 26.7
B 2975 23.6
C 3260 24.9
D 3760 23.1
E 4225 20.4
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...
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.
Weight (pounds), x Miles per Gallon, y
3736 17
3938 17
2746 24
3485 19
3250 22
3035 24
3826 16
2506 23
3387 18
3847 18
3251 17
(a) Find the least-squares...
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.
Click here to
view the weight and gas mileage data.
Weight
(pounds),
x
Miles
per
Gallon,
y
3711
16
3828
17
2625
24
3648
19
3313
21
2914
24
3786
17
2694
23...
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
(a) Find the least-squares regression line
treating weight as the explanatory variable and miles per gallon as
the response variable.
Weight (pounds), x
Miles per Gallon, y
3748
16
3834
16
2794
25...
The following table shows the short-run cost data of a perfectly competitive firm. Assume that output...
The following table shows the short-run cost data of a perfectly
competitive firm. Assume that output can only be increased in
batches of 100 units.
Quantity
Total Cost
(dollars)
Variable Cost
(dollars)
0
$1000
$0
100
1360
360
200
1560
560
300
1960
960
400
2760
1760
500
4000
3000
600
5800
4800
a. Explain how a firm chooses quantity to maximise profit in a
competitive market.
b. What is the firm’s fixed cost? (1 mark)
c. Suppose...
The code in this question shows three ways that one can read data from a file...
The code in this question shows three ways that one can read
data from a file in a Python program.
Answer the following questions:
Using the code as an example, explain why Python is a fixed
format programming language.
Describe what would be output for each of the print statements
in the code listing.
Given the difference in output, explain the different roles of
readLine(), readLines(), and read() functions.
with open("rainfall.txt","r") as inFile:
aLine = inFile.readLine()
with open("rainfall.txt", "r") as...
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