Correlation and Regression

A survey was carried out to find the salaries for technicians working in maintenance at Atlanta International Airport. The number of years spent in education was recorded as was their yearly salary. Below in the table are the results for this survey.
Education (years)
Education (years)
Income ($ ,000s)
8
20
12
28
10
27
20
55
16
45
18
60
13
29
12
25
16
37
14
32

a) Describe in words and statistical terms the relationship between the number of years in education and corresponding salary earned. Discuss the results in terms of this sample and the population in general. (50 points)
There is a strong correlation between education and income. The more years in education, the higher the income. I reject the null (0.0001) because there is an extremely strong relationship between education and income.
b) If William has 16 years in education what would be the expected yearly salary? (25 points)

If John only has 5 years of education