A social scientist would like to analyze the relationship between educational attainment (in years of higher education) and annual salary (in \$1,000s). The accompanying data file shows Salary and Education for 20 individuals. Click here for the Excel Data File a. Find the sample regression equation for the model: salary =0+2 Education +q0 Note: Round your answers to 2 decimal places. b. Interpret the coefficient for Education. As Education increases by 1 year, an individual's annual salary is predicted to decrease by $6,430. As Education increases by 1 year, an individual's annual salary is predicted to increase by $6,430. As Education increases by 1 year, an indlvidual's annual salary is predicted to increase by $8,590. As Education increases by 1 year, an indlvidual's annual salary is predicted to decrease by $8,590. c. What is the predicted salary (in $1,000 s) for an individual who completed 9 years of higher education? Note: Do not round intermediate calculations. Round the final answer to 2 decimal places. \begin{tabular}{|c|c|c|} \hline 1 & Salary & Education \\ \cline { 2 - 3 } & 44 & 3 \\ \hline 3 & 49 & 2 \\ \hline 4 & 84 & 5 \\ \hline 5 & 44 & 3 \\ \hline & 72 & 6 \\ \hline 7 & 56 & 3 \\ \hline 8 & 111 & 5 \\ \hline 9 & 43 & 0 \\ \hline 10 & 37 & 4 \\ \hline 11 & 58 & 3 \\ \hline 12 & 89 & 2 \\ \hline 13 & 44 & 6 \\ \hline 14 & 67 & 1 \\ \hline 15 & 61 & 4 \\ \hline 16 & 145 & 8 \\ \hline 17 & 47 & 0 \\ \hline 18 & 83 & 2 \\ \hline 19 & 73 & 9 \\ \hline 20 & 130 & 5 \\ \hline 21 & 34 & 0 \\ \hline 22 & & \\ \hline \end{tabular}