If you pay more in tuition to go to a top business school, will it necessarily result in a higher probability of a job offer at graduation? Let y= % of graduates with job offers and x=tuition cost; then fit the simple linearmodel, E(y)=β0+β1x,to the data below. Is there sufficient evidence (at α=0.05) of a positive linear relationship between y and x?
School |
Annual tuition ($) |
% with Job Offer |
---|---|---|
1 |
39,846 |
89 |
2 |
39,728 |
91 |
3 |
39,656 |
87 |
4 |
38,747 |
98 |
5 |
38,342 |
97 |
6 |
37,686 |
93 |
7 |
37,213 |
94 |
8 |
37 comma 07137,071 |
8686 |
9 |
36,498 |
87 |
10 |
36,025 |
91 |
Give the null and alternative hypotheses for testing whether there exists a positive linear relationship between y and x?
A.H0: β1equals=0
Ha: β1<0
B. H0: β1=0
Ha: β1≠0
C. H0: β0=0
Ha: β0<0
D. H0: β0=0
Ha: β0>0
E.H0: β1=0
Ha: β1>0 Your answer is correct.
F. H0: β0=0
Ha: β0≠0
Find the test statistic. t=0.24 (Round to two decimal places as needed.)
Find the p-value. p-value=0.4094 (Round to four decimal places as needed.)
Make the appropriate conclusion at α=0.05.
Choose the correct answer below.
A.Reject H0. There is insufficient evidence that there exists a positive linear relationship between y and x.
B.Reject H0. There is sufficient evidence that there exists a positive linear relationship between y and x.
C.Do not reject H0. There is sufficient evidence that there exists a positive linear relationship between y and x.
D.Do not reject H0. There is insufficient evidence that there exists a positive linear relationship between y and x.
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