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 |
40 | 3 |
53 | 4 |
80 | 6 |
42 | 2 |
70 | 5 |
50 | 4 |
110 | 8 |
38 | 0 |
42 | 3 |
55 | 4 |
85 | 6 |
40 | 2 |
70 | 5 |
60 | 4 |
140 | 8 |
40 | 0 |
75 | 5 |
65 | 4 |
125 | 8 |
38 | 0 |
a. Find the sample regression equation for the model: Salary = β0 + β1Education + ε. (Round answers to 2 decimal places.)
Salaryˆ=. ___ + ___ Education
b. What is the predicted salary for an individual who completed 7 years of higher education? (Round coefficient estimates to at least 4 decimal places and final answer to the nearest whole number.)
The statistic software output for this problem is:
(a)
Salary = 21.95 + 10.85 Education
(b)
predicted salary = 97.9124
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