Question: Regression Statistics Multiple R 0.5966 R Square 0.3559 Adjusted R Square 0.339 Standard Error 497.9058 Observations 40 ANOVA df SS MS F Significance F Regression

Regression Statistics Multiple R 0.5966 R Square 0.3559 Adjusted R Square 0.339 Standard Error 497.9058 Observations 40 ANOVA df SS MS F Significance F Regression 1 5205388.04 5205388.04 20.9971 4.85E-05 Residual 38 9420585.51 247910.15 Total 39 14625973.55 Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Intercept 4250.9742 180.2332 23.586 2.71E-24 3886.1113 4615.8372 Experience (months) 6.6108 1.4427 4.5822 4.85E-05 3.6902 9.5313 Use the estimated regression equation given by this regression to predict sales if the territory salesperson has 58 months of experience at the company. Do not round the values further when calculating. Use them as they are in the output. Round your final answer to two decimal places

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