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The data in the table represent the weights of various domestic cars and their m

ID: 3176361 • Letter: T

Question

The data in the table represent the weights of various domestic cars and their miles per gallon in the city for the 2008 model year. For the data from the first 11 cars, the least-squares regression line is

ModifyingAbove y with caretyequals=negative 0.00510.0051xplus+38.892938.8929.

A twelfth car weighs

2 comma 8242,824

pounds and gets

2626

miles per gallon. Compute the coefficient of determination of the expanded data set (including the twelfth car). What effect does the addition of the twelfth car to the data set have on

Rsquared2?

LOADING...

Click the icon to view the data table.

Car   Weight_(pounds)_x   Miles_per_Gallon_y
1   3763   19
2   3986   20
3   3534   22
4   3171   23
5   2575   26
6   3740   19
7   2606   25
8   3780   19
9   3314   19
10   2992   25
11   2755   25
12   2824   26

The coefficient of determination of the expanded data set is

Rsquared2equals=nothing%.

(Round to one decimal place as needed.)

How does the addition of the twelfth car to the data set affect

Rsquared2?

Select the correct choice below and, if necessary, fill in the answer box to complete your choice.

A.

It

reducereduces

Rsquared2

by

nothing%.

(Round to one decimal place as needed.)

B.

It

increaseincreases

Rsquared2

by

nothing%.

(Round to one decimal place as needed.)

C.

It does not affect

Rsquared2

Explanation / Answer

Result:

The data in the table represent the weights of various domestic cars and their miles per gallon in the city for the 2008 model year. For the data from the first 11 cars, the least-squares regression line is

ModifyingAbove y with caretyequals=negative 0.00510.0051xplus+38.892938.8929.

A twelfth car weighs2,824 pounds and gets 26 miles per gallon.

Compute the coefficient of determination of the expanded data set (including the twelfth car). What effect does the addition of the twelfth car to the data set have on

Rsquared2?

LOADING...

Click the icon to view the data table.

Car   Weight_(pounds)_x   Miles_per_Gallon_y
1   3763   19
2   3986   20
3   3534   22
4   3171   23
5   2575   26
6   3740   19
7   2606   25
8   3780   19
9   3314   19
10   2992   25
11   2755   25
12   2824   26

The coefficient of determination of the expanded data set is

Rsquared2 =81.5%.

(Round to one decimal place as needed.)

How does the addition of the twelfth car to the data set affect Rsquared2?

Select the correct choice below and, if necessary, fill in the answer box to complete your choice.

Answer: B.

It increase increases Rsquared2 by   0.7 %.

(Round to one decimal place as needed.)

Regression for expanded data

Regression Analysis

0.8148

n

12

r

-0.9027

k

1

Std. Error

1.352

Dep. Var.

miles

ANOVA table

Source

SS

df

MS

F

p-value

Regression

80.3958

1  

80.3958

44.00

.0001

Residual

18.2709

10  

1.8271

Total

98.6667

11  

Regression output

confidence interval

variables

coefficients

std. error

   t (df=10)

p-value

95% lower

95% upper

Intercept

39.8282

2.6661

14.939

3.64E-08

33.8878

45.7687

weight

-0.0054

0.0008

-6.633

.0001

-0.0072

-0.0036

Regression for 11 cases

Regression Analysis

0.8083

n

11

r

-0.8991

k

1

Std. Error

1.338

Dep. Var.

miles

ANOVA table

Source

SS

df

MS

F

p-value

Regression

67.8975

1  

67.8975

37.95

.0002

Residual

16.1025

9  

1.7892

Total

84.0000

10  

Regression output

confidence interval

variables

coefficients

std. error

   t (df=9)

p-value

95% lower

95% upper

Intercept

38.8929

2.7717

14.032

2.01E-07

32.6228

45.1629

weight

-0.0051

0.0008

-6.160

.0002

-0.0070

-0.0032

Regression Analysis

0.8148

n

12

r

-0.9027

k

1

Std. Error

1.352

Dep. Var.

miles

ANOVA table

Source

SS

df

MS

F

p-value

Regression

80.3958

1  

80.3958

44.00

.0001

Residual

18.2709

10  

1.8271

Total

98.6667

11  

Regression output

confidence interval

variables

coefficients

std. error

   t (df=10)

p-value

95% lower

95% upper

Intercept

39.8282

2.6661

14.939

3.64E-08

33.8878

45.7687

weight

-0.0054

0.0008

-6.633

.0001

-0.0072

-0.0036

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