a. Find the relationship between Salaries (dollar per hour) as a response variable and Education level as an explanatory variable. Use excels to find the linear regression output. The belief is that as the education level increases, the salaries (dollar per hour) would increase. (You have to calculate according to your data). b. State the slope coefficient of the least square regression equation. c. State the intercept coefficient of the least square regression equation. d. Determine the least square regression equation representing the approximately linear relationship between the Salaries (dollar per hour) as a response variable and Education level as an explanatory variable. e. Estimate the Salaries when the education level is Diploma. f. Construct the 95% confidence interval for the slope parameter of the least square regression equation.