B C D E F G H A regression model relating the number of salespersons at a branch office to annual sales at the office (in $1000) provided the following regression Excel output. (See exercise 42 on page 577 of your textbook for a similar problem.) Dep.=Annual Sales Indep.=# Salespeople SUMMARY OUTPUT Regression Statistics Multiple R R Square Adjusted R Square Standard Error 44.0896 Observations 11.0000 29 ANOVA 30 SS MS F Significance F 31 Regression 32 Residual 33 Total 456,462.5455 34 35 Coefficients Standard Error t Stat P-value Lower 95% Upper 95% 36 Intercept 2.0080 52.4443 0.0383 0.9703 -116.6293 120.6453 37 # Salespeople 56.6616 0.0000 38 39 40 41 Question 1 The Least Squares Method determined the values of bo and b1 that minimized this sum. What is the resulting value? 42