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 |
42 | 6 |
48 | 7 |
82 | 1 |
46 | 3 |
67 | 1 |
54 | 5 |
105 | 6 |
42 | 0 |
38 | 4 |
56 | 6 |
90 | 2 |
44 | 7 |
67 | 5 |
64 | 7 |
143 | 12 |
43 | 0 |
76 | 7 |
64 | 4 |
127 | 6 |
42 | 0 |
a. Find the sample regression equation for the model: Salary = β0 + β1Education + ε. (Round answers to 2 decimal places.)
Salaryˆ=Salary^= + Education
c. What is the predicted salary for an individual who completed 8 years of higher education? (Round coefficient estimates to at least 4 decimal places and final answer to the nearest whole number.)
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