In: Statistics and Probability
A social scientist would like to analyze the relationship between educational attainment (in years of higher education) and annual salary (in $1,000s). He collects data on 20 individuals. A portion of the data is as follows: Salary Education
Salary | Education |
38 | 5 |
70 | 5 |
96 | 8 |
55 | 3 |
80 | 9 |
78 | 8 |
108 | 9 |
49 | 0 |
31 | 6 |
37 | 6 |
96 | 5 |
40 | 1 |
69 | 7 |
70 | 7 |
166 | 5 |
63 | 0 |
83 | 1 |
62 | 3 |
131 | 5 |
28 | 0 |
a. Find the sample regression equation for the model: Salary = β0 + β1Education + ε. (Round answers to 2 decimal places.) Salaryˆ= + Education b. Interpret the coefficient for Education. As Education increases by 1 unit, an individual’s annual salary is predicted to decrease by $4,070. As Education increases by 1 unit, an individual’s annual salary is predicted to increase by $8,590. As Education increases by 1 unit, an individual’s annual salary is predicted to increase by $4,070. As Education increases by 1 unit, an individual’s annual salary is predicted to decrease by $8,590. c. What is the predicted salary for an individual who completed 6 years of higher education? (Round coefficient estimates to at least 4 decimal places and final answer to the nearest whole number.) Salaryˆ $