Personal wealth tends to increase with age as older individuals Have had more opportunities to earn and invest than younger individuals. The following data were obtained from a random sample of eight individuals and record the total wealth (Y) and their Personal wealth tends to increase with age as older individuals current age (X). Person Total wealth(‘000s of dollars)       Y Age (Years)       X A 280 36 B 450 72 C 250 48 D 320 51 E 470 80 F 250 40 G 330 55 H 430 72           A part of the output of a regression analysis of Y against X using Excel is given below.      SUMMARY OUTPUT                            Regression  Statistic   Multiple R 0.954704 R Square 0.91146 Adjusted R Square 0.896703 Standard Error 28.98954 Observation 8                         df                             df SS   MS                F Significant F Regression 1 51907.64 51907.64     Residual 6 5042.361 840.3936     Total 7 56950           Coefficient Standard error T Stat P-value Intercept 45.2159 39.8049     Age 5.3265 0.6777       Test whether there is a significant relationship between wealth and age at the 10% significant level. Perform the test using the following six steps. Step 1. Statement of hypothesis Step2. Standardized test statistic. Step3. Level of Significance Step4. Decision rule Step5. Calculation of test statistic Step6. Conclusion

Linear Algebra: A Modern Introduction
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Author:David Poole
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Chapter4: Eigenvalues And Eigenvectors
Section4.6: Applications And The Perron-frobenius Theorem
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Personal wealth tends to increase with age as older individuals

Have had more opportunities to earn and invest than younger individuals. The following data were obtained from a random sample of eight individuals and record the total wealth (Y) and their Personal wealth tends to increase with age as older individuals current age (X).

Person

Total wealth(‘000s of dollars)

      Y

Age (Years)

 

    X

A

280

36

B

450

72

C

250

48

D

320

51

E

470

80

F

250

40

G

330

55

H

430

72

       

 

A part of the output of a regression analysis of Y against X using Excel is given below.

 

   SUMMARY OUTPUT

                           Regression  Statistic  

Multiple R

0.954704

R Square

0.91146

Adjusted R Square

0.896703

Standard Error

28.98954

Observation

8

 

 

 

                  df                             df

SS

 

MS           

 

 

F

Significant F

Regression

1

51907.64

51907.64

 

 

Residual

6

5042.361

840.3936

 

 

Total

7

56950

 

 

 

 

 

Coefficient

Standard error

T Stat

P-value

Intercept

45.2159

39.8049

 

 

Age

5.3265

0.6777

 

 

 

  1. Test whether there is a significant relationship between wealth and age at the 10% significant level. Perform the test using the following six steps.

Step 1. Statement of hypothesis

Step2. Standardized test statistic.

Step3. Level of Significance

Step4. Decision rule

Step5. Calculation of test statistic

Step6. Conclusion

 

Expert Solution
Step 1

The hypotheses can be constructed as:

H0: β1 = 0

H1: β1 ≠ 0

Step 2

The standardised test statistic can be written as:

Statistics homework question answer, step 2, image 1

Step 3

The level of significance is provided as 10% that is 0.10.

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