SUMMARY OUTPUT Regression Statistics Multiple R R Square Adjusted R Square Standard Error 0.713 0.508 0.410 43.393 Observations 7 ANOVA df SS MS Significance F Regression 1 9738.25 9738.25 5.17 0.07 Residual 9414.60 1882.92 Total 6 19152.86 Coefficientsandard Err P-value Lower 95% Upper 95% 186.369 t Stat Intercept 51.779 52.358 0.989 0.368 -82.810 Number in Household 31.662 13.922 2.274 0.072 -4.127 67.450

Big Ideas Math A Bridge To Success Algebra 1: Student Edition 2015
1st Edition
ISBN:9781680331141
Author:HOUGHTON MIFFLIN HARCOURT
Publisher:HOUGHTON MIFFLIN HARCOURT
Chapter11: Data Analysis And Displays
Section11.4: Two-ways Tables
Problem 12E
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The following data was collected by a particular company to determine if a relationship between the number of people in a household and weekly food expenditures exists.

Regression analysis is done using this data, and the following Excel see attached image

Household

Number in Household

Weekly Food Expenses

1

2

$95

2

3

$137

3

5

$165

4

2

$105

5

4

$227

6

4

$240

7

5

$185

a. Using the least-squares regression line (from the excel output the regression equation is y=51.779 + 31.662x) , estimate the weekly food expenses for a household that has 10 people.

b. Briefly describe any concerns that you may have with your forecast or extrapolation in question above. 

c. Give examples of two variables that should be included in the model above, explaining why these would make the model a better fit. 

SUMMARY OUTPUT
Regression Statistics
Multiple R
R Square
Adjusted R Square
Standard Error
0.713
0.508
0.410
43.393
Observations
7
ANOVA
df
SS
MS
Significance F
Regression
1
9738.25
9738.25
5.17
0.07
Residual
9414.60
1882.92
Total
6 19152.86
Coefficientsandard Errc
t Stat
P-value
Lower 95% Upper 95%
Intercept
51.779
52.358
0.989
0.368
-82.810
186.369
Number in Household
31.662
13.922
2.274
0.072
-4.127
67.450
Transcribed Image Text:SUMMARY OUTPUT Regression Statistics Multiple R R Square Adjusted R Square Standard Error 0.713 0.508 0.410 43.393 Observations 7 ANOVA df SS MS Significance F Regression 1 9738.25 9738.25 5.17 0.07 Residual 9414.60 1882.92 Total 6 19152.86 Coefficientsandard Errc t Stat P-value Lower 95% Upper 95% Intercept 51.779 52.358 0.989 0.368 -82.810 186.369 Number in Household 31.662 13.922 2.274 0.072 -4.127 67.450
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