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The accompanying table shows a portion of a data set that refers to the size of

ID: 3228098 • Letter: T

Question

The accompanying table shows a portion of a data set that refers to the size of a home (in square feet) and its property taxes owed by the owner (in $) in an affluent suburb 30 miles outside New York City. a. Determine the sample regression equation that enables us to predict property taxes on the basis of the size of the home. b. Interpret the slope coefficient. As Property Taxes increase by 1 dollar, the size of the house increases by 6.99 ft. As Size increases by 1 square foot, the property taxes are predicted to increase by $6.99. c. Predict the property taxes for a 1, 700-square-foot home.

Explanation / Answer

Solution:

The required regression analysis by using excel is given as below:

SUMMARY OUTPUT

Regression Statistics

Multiple R

0.764105355

R Square

0.583856994

Adjusted R Square

0.560737938

Standard Error

6583.29377

Observations

20

ANOVA

df

SS

MS

F

Significance F

Regression

1

1094517885

1094517885

25.25436144

0.000088

Residual

18

780115623.5

43339756.86

Total

19

1874633508

Coefficients

Standard Error

t Stat

P-value

Lower 95%

Upper 95%

Intercept

5991.827788

3951.889312

1.516193222

0.146835712

-2310.783555

14294.43913

size

6.993424987

1.391623407

5.025371772

8.78836E-05

4.069732704

9.917117271

Part a

The required regression equation is given as below:

Property Taxes = 5991.83 + 6.99*Size

Part b

Interpretation of slope

As size increases by 1 square foot, the property taxes are predicted to increase by $6.99.

Part c

Here, we are given size = 1700 square foot

Property Taxes = 5991.83 + 6.99*Size

Property Taxes = 5991.83 + 6.99*1700

Estimate for property taxes = 17874.83

SUMMARY OUTPUT

Regression Statistics

Multiple R

0.764105355

R Square

0.583856994

Adjusted R Square

0.560737938

Standard Error

6583.29377

Observations

20

ANOVA

df

SS

MS

F

Significance F

Regression

1

1094517885

1094517885

25.25436144

0.000088

Residual

18

780115623.5

43339756.86

Total

19

1874633508

Coefficients

Standard Error

t Stat

P-value

Lower 95%

Upper 95%

Intercept

5991.827788

3951.889312

1.516193222

0.146835712

-2310.783555

14294.43913

size

6.993424987

1.391623407

5.025371772

8.78836E-05

4.069732704

9.917117271

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