1. Using the output in part a, write out the linear equation to predict payrate based on our data set.

Use your regression equation in part b to estimate the payrate of a 45-year-old and a 55-year-old employee.

SUMMARY OUTPUT Regression Statistics Multiple R 0.500 R Square 0.250 Adjusted R 0.193 Standard E 11.434 Observatic 15.000 AN OVA 5S MS F ignificance F Regression 1.000 567.452 567.452 4.341 0.058 Residual 13.000 1699.481 130.729 Total 14.000 2266.933 Coefficientsandard Ern t Stat P-value Lower 95% Upper 95% ower 95.09 Upper 95.0% Intercept 7.104 18.633 0.381 0.709 -33.149 47.357 -33.149 47.357 Age 0.811 0.389 2.083 0.058 -0.030 1.652 -0.030 1.652