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school, will it necessarily result in a higher probability of a job offer at gra

ID: 3318631 • Letter: S

Question

school, will it necessarily result in a higher probability of a job offer at graduation? Let y=percentage of graduates with job offers and X = tuition cost; then fit the simple linearmodel, E (y)=0+1x, to the data below. Is there sufficient evidence (at =0.5) of a positive linear relationship between y and x?

School

Annual_tuition ($)

%_with_Job_Offer

1

39751

99

2

39275

98

3

38931

99

4

38527

84

5

38176

94

6

37764

93

7

37502

93

8

37011

87

9

36758

96

10

36288

93

Find the test statistic

T=

Round two decimals

Find the P Value

round four decimals

C. Make the appropriate conclusion at = 0.05

1. Do not reject Ho. There is insufficient evidence that there exists a positive linear relationship between y & x

2. Do not reject Ho. There is sufficient evidence that there exists a positive linear relationship between y & x

3. Reject Ho. There is insufficient evidence that there exists a positive linear relationship between y & x

4. Reject Ho. There is sufficient evidence that there exists a positive linear relationship between y & x

School

Annual_tuition ($)

%_with_Job_Offer

1

39751

99

2

39275

98

3

38931

99

4

38527

84

5

38176

94

6

37764

93

7

37502

93

8

37011

87

9

36758

96

10

36288

93

Explanation / Answer

The statistical software output for this problem is:

Simple linear regression results:
Dependent Variable: %_with_Job_Offer
Independent Variable: Annual_tuition ($)
%_with_Job_Offer = 27.825468 + 0.0017309862 Annual_tuition ($)
Sample size: 10
R (correlation coefficient) = 0.39749856
R-sq = 0.15800511
Estimate of error standard deviation: 4.8163222

Parameter estimates:


Analysis of variance table for regression model:

Hence,

T = 1.23

P - value = 0.1277

Do not reject Ho. There is insufficient evidence that there exists a positive linear relationship between y & x.

Option A is correct.

Parameter Estimate Std. Err. Alternative DF T-Stat P-value Intercept 27.825468 53.704003 0 8 0.51812652 0.6184 Slope 0.0017309862 0.001412758 > 0 8 1.2252532 0.1277