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=percentage of graduates with job offers and x=tuition cost; then fit the simple linear model, E(y)=β0+β1x, to the data below. Is there sufficient evidence (at alpha=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 |
37,071 |
86 |
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: β1=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
F. H0: β0=0
Ha: β0≠0
If you pay more in tuition to go to a top business school, will it necessarily...
SCENARIO 14-15 The superintendent of a school district wanted to predict the percentage of students passing a sixth-grade proficiency test. She obtained the data on percentage of students passing the proficiency test ( % Passing), mean teacher salary in thousands of dollars ( Salaries), and instructional spending per pupil in thousands of dollars ( Spending) of 47 schools in the state. Following is the multiple regression output with Y = % Passing as the dependent variable, X 1 = Salaries and X 2= Spending: Referring to...
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To study how social media may influence the products consumers buy, researchers collected the opening weekend box office revenue (in millions of dollars) for 23recent movies and the social media message rate(average number of messages referring to the movie per hour). The data are available below. Conduct a complete simple linear regression analysis of the relationship between revenue (y) and message rate (x). To study how social media may influence the products consumers buy, researchers collected the opening weekend box...
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