A B C D E F G H SUMMARY OUTPUT W N Regression Statistics 4 Multiple R 0.218701831 5 R Square 0.047830491 6 Adjusted R Square 0.03876221 7 Standard Error 35785.38409 8 Observations 107 9 10 ANOVA 11 df SS MS F Significance F 12 Regression 1 6754469292 6754469292 5.274482621 0.023625272 13 Residual 105 1.34462E+11 1280593715 14 Total 106 1.41217E+11 15 16 Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0% 17 Intercept 5177.744569 5181.529771 0.999269482 0.319961475 -5096.271803 15451.76094 -5096.271803 15451.76094 18 total_cases_per_million 0.55942858 0.243587342 2.296624179 0.023625272 0.076439877 1.042417283 0.076439877 1.042417283 Estimate the following simple regression model of total_deaths on total_cases: total_deaths = BO + 81 total_cases + u Write down the estimated sample regression function and interpret the slope coefficient for an additional 1000 total cases