SUMMARY OUTPUT Regression Statistics Multiple R R Square Adjusted R Square Standard Error Observations 0.9724 0.9455 0.9446 2.4719 336 ANOVA df Significance F 1.4628E-204 Regression Residual Total 6 329 335 SS MS F 34908.31993 5818.0533 952.169118 2010.293661 6.1103151 36918.61359 Intercept DIGR UR T Q2 Q3 Q4 Coefficients 33.4871 0.0117 -0.9279 0.1030 2.9218 2.4842 1.4378 Standard Error 0.7338 0.0947 0.0904 0.0014 0.3815 0.3815 0.3817 t Stat 45.6339 0.1236 - 10.2660 73.3392 7.6595 6.5109 3.7664 P-value 0.0000 0.9017 0.0000 0.0000 0.0000 0.0000 0.0002 Lower 95% 32.0435 -0.1746 -1.1057 0.1003 2.1714 1.7337 0.6868 Upper 95% Lower 95.0% Upper 95.0% 34.9307 32.0435 34.9307 0.1981 -0.1746 0.1981 -0.7501 -1.1057 -0.7501 0.1058 0.1003 0.1058 3.6722 2.1714 3.6722 3.2348 1.7337 3.2348 2.1887 0.6868 2.1887 12 DIGR=growth rate in real disposable income per person over the previous 12 month UR= unemployment rate in the current month T= 1 for the first monthly observation, etc. Q2, Q3, and Q4 are dummy variables, where Q2=1 for observations in the second quarter of the year (April, May, and June) and the others are defined similarly. 1a: According to the regression results, what is the expected effect on monthly sales of a one percentage point increase in the growth rate of disposable income? 16: What is the expected effect on monthly sales of a one percentage point increase in the unemployment rate