Relationship between work hours and loan amount

Assignment Help Applied Statistics
Reference no: EM13720958

This is the ANOVA test to answer this question. Be sure to state the null and alternate hypotheses, and briefly answer the question.For students who work, are there differences in the average loan amounts across classes?

Analysis of Variance results:
Where: "Bin(Work)"="0.1 or above"
Responses: Loans
Factors: Class
Response statistics by factor

Class

n

Mean

Std. Dev.

Std. Error

1

24

3434.375

1663.0016

339.45878

2

21

7656.2381

1950.798

425.69902

3

18

10910.833

4077.4482

961.06375

4

21

13134.524

6579.8379

1435.8383

ANOVA table

Source

DF

SS

MS

F-Stat

P-value

Class

3

1.1864529e9

3.954843e8

24.559653

<0.0001

Error

80

1.2882407e9

16103009



Total

83

2.4746936e9




Tukey 95% Simultaneous Confidence Intervals:

1 subtracted from


Difference

Lower

Upper

P-value

2

4221.8631

1075.6672

7368.0589

0.0039

3

7476.4583

4193.408

10759.509

<0.0001

4

9700.1488

6553.953

12846.345

<0.0001

2 subtracted from


Difference

Lower

Upper

P-value

3

3254.5952

-127.46368

6636.6542

0.0636

4

5478.2857

2228.9086

8727.6628

0.0002

3 subtracted from


Difference

Lower

Upper

P-value

4

2223.6905

-1158.3684

5605.7494

0.3176

For students that work, is there a relationship between the dollar amount of loans they have and the number of hours per week that they work?

- Compute the coefficient of correlation, the coefficient of determination, and the linear regression equation.

Simple linear regression results:
Dependent Variable: Work
Independent Variable: Loans 
Work = 3.5923118 + 0.0010926257 Loans
Sample size: 200
R (correlation coefficient) = 0.51889059
R-sq = 0.26924745
Estimate of error standard deviation: 10.602837
Parameter estimates:

Parameter

Estimate

Std. Err.

Alternative

DF

T-Stat

P-value

Intercept

3.5923118

0.99406366

≠ 0

198

3.6137644

0.0004

Slope

0.0010926257

0.00012792287

≠ 0

198

8.5412852

<0.0001

Analysis of variance table for regression model:

Source

DF

SS

MS

F-stat

P-value

Model

1

8201.4492

8201.4492

72.953552

<0.0001

Error

198

22259.19

112.42015



Total

199

30460.639




1156_Compute the coefficient of correlation.png

  • Does there appear to be a relationship between work hours and loan amount? Explain your answer.
  • Explain the meaning of the coefficient of determination as it applies specifically to this problem.
  • Explain the meaning of the slope in the regression equation as it applies specifically to this problem. Is this the relationship you expected? Explain. If it isn't what you expected, explain why it might have occurred.
  • Does a linear model appear to be appropriate for this comparison? Explain.

This is the chi-square test of independence. State the null and alternate hypotheses, and explain the results of the test.Is there evidence of a relationship between class and whether or not students work?

Contingency table results:
Rows: Bin(Work)
Columns: Class


1

2

3

4

Total

Below 0.1

44

24

28

20

116

0.1 or above

24

21

18

21

84

Total

68

45

46

41

200

Chi-Square test:

Statistic

DF

Value

P-value

Chi-square

3

3.2436948

0.3556

Reference no: EM13720958

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