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You collect data on 26 metropolitan areas to analyze average monthly debt paymen

ID: 3060741 • Letter: Y

Question

You collect data on 26 metropolitan areas to analyze average monthly debt payments in terms of income and the unemployment rate. The data are shown in the accompanying table. Use Table 4. http://lectures.mhhe.com/connect/0078020557/Table/table4.jpg

LInke to the excel http://lectures.mhhe.com/connect/0078020557/Ch16/Static/Ch16_Q11_Data_File.xlsx

Metropolitan Area

Income
(in $1,000s)

Unemployment

    Debt

  Washington, D.C.

  $103.5      

6.3%        

$1,285   

  Seattle

81.7      

8.5           

1,135   

  Baltimore

82.2      

8.1           

1,133   

  Boston

  89.5      

7.6           

1,133   

  Denver

  75.9      

8.1           

1,104   

  San Francisco

  93.4      

9.3           

1,098   

  San Diego

  75.5      

10.6           

1,076   

  Sacramento

  73.1      

12.4           

1,045   

  Los Angeles

  68.2      

12.9           

1,024   

  Chicago

  75.1      

9.7           

1,017   

  Philadelphia

  78.3      

9.2           

1,011   

  Minneapolis

  84.0      

7.0           

1,011   

  New York

  78.3      

9.3           

989   

  Atlanta

  71.8      

10.3           

986   

  Dallas

  68.3      

8.4           

970   

  Phoenix

66.6      

9.1           

957   

  Portland

  71.2      

10.2           

948   

  Cincinnati

  69.5      

9.3           

920   

  Houston

  65.1      

8.7           

889   

  Columbus

  68.6      

8.3           

888   

  St. Louis

  68.3      

9.9           

886   

  Miami

  60.2      

14.5           

867   

  Detroit

  69.8      

15.7           

832   

  Cleveland

  64.8      

9.6           

812   

  Tampa

  59.4      

12.6           

791   

  Pittsburgh

  63.0      

8.3           

763

Metropolitan Area

Income
(in $1,000s)

Unemployment

    Debt

  Washington, D.C.

  $103.5      

6.3%        

$1,285   

  Seattle

81.7      

8.5           

1,135   

  Baltimore

82.2      

8.1           

1,133   

  Boston

  89.5      

7.6           

1,133   

  Denver

  75.9      

8.1           

1,104   

  San Francisco

  93.4      

9.3           

1,098   

  San Diego

  75.5      

10.6           

1,076   

  Sacramento

  73.1      

12.4           

1,045   

  Los Angeles

  68.2      

12.9           

1,024   

  Chicago

  75.1      

9.7           

1,017   

  Philadelphia

  78.3      

9.2           

1,011   

  Minneapolis

  84.0      

7.0           

1,011   

  New York

  78.3      

9.3           

989   

  Atlanta

  71.8      

10.3           

986   

  Dallas

  68.3      

8.4           

970   

  Phoenix

66.6      

9.1           

957   

  Portland

  71.2      

10.2           

948   

  Cincinnati

  69.5      

9.3           

920   

  Houston

  65.1      

8.7           

889   

  Columbus

  68.6      

8.3           

888   

  St. Louis

  68.3      

9.9           

886   

  Miami

  60.2      

14.5           

867   

  Detroit

  69.8      

15.7           

832   

  Cleveland

  64.8      

9.6           

812   

  Tampa

  59.4      

12.6           

791   

  Pittsburgh

  63.0      

8.3           

763

Firefox File Edit View History Bookmarks Tools Window Help 88% Cha Mon 11:03 AM Ch. 16 Hw Chegg Study I Guided Solutio | ezto.rnheducation.com/hm.tpx Q Search ± lll @ a-1. Estimate the model Debt = 0 + |Inc + 2Unemp + E. (Round your answers to 4 decimal places.) Inc + 01 a-2. Is unemployment significant at the 5% level? Yes No c-1. Estimate Debt = 0 + 1 Inc + 2Unemp + 3Unemp4 . (Negative values should be indicated by a minus sign. Round your answers to 4 decimal places.) Debt c-2. Determine if Unemp and Unemp2 are jointly significant at the 5% level. With the ttests, we conclude that Unemp and Unemp are jointly significant. With the t-tests, we cannot conclude that Unemp and Unemp are jointly significant. With the partial F-test, we conclude that Unemp and Unemp2 are jointly significant. With the partial F-test, we cannot conclude that Unemp and Unemp2 are jointly significant. References eBook & Resources Difficulty: 3 Hard Learning Objective: 16-01 Use and evaluate polynomial regression models. eck

Explanation / Answer

Here the regression output is

so,

Debt^ = 198.9956 + 10.5122 * Income + 0.6186 * unemployement

(b) Here as we can see that p - value for employment is 0.92 so unemployment percentage is insignificant here.

(c) Now we will use unemp2 as independent variable here.

The summary output is

Here

Debt^ = -264.6230 + 11.4821 * Income + 73.9527 * unemp - 3.2393 * Unemp2

so Here also p - value for both the unemployment and unempoyment2 is greater than 0.05 so we can say that the coefficients are not significant here.

Option B is correct here.

SUMMARY OUTPUT Regression Statistics Multiple R 0.867562 R Square 0.752664 Adjusted R Square 0.731156 Standard Error 64.60976 Observations 26 ANOVA df SS MS F Regression 2 292170.8 146085.4 34.99536 Residual 23 96011.69 4174.421 Total 25 388182.5 Coefficients Standard Error t Stat P-value Intercept 198.9956 156.3619 1.27266 0.215854 Income 10.51216 1.476525 7.119525 2.98E-07 Unemp 0.618572 6.867902 0.090067 0.929014
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