The Ritz Theater uses the regression analysis method to estimate fixed cost per month and variable costs per ticket sold. Summary output of regression statistics is provided below: SUMMARY OUTPUT Regression Statistics Multiple R 0.825358 R Square 0.681216 Adj RSquare 0.656695 Stand Error 39.35892 Observations 15 ANOVA df SS MS F Sig E Regression Residual 1 43,034.7 43,034.71 27.780017 0.000151 13 20,138.6 1,549.12 Total 14 63.173.3 Lower Upper Lower Upper 95% 95% 95% 487.3612 Coefficients Std Error tStat P-value 95% Intercept 2621.21 101.8073 2.626725 0.020917 47.478460 487.3612 47.478460 X Variable 35.58 6.1023 5.270675 0.000151 18.980154 45.3467 18.980154 45.3467 The company is considering an advertising campaign that is expected to increase annual sales by 3,000 tickets. Tickets are sold for $120 each. Ignoring the cost of the advertising campaign, what is the expected increase in profit associated with the advertising campaign? $253.200 $250,630 $260,000 $265.000 O$270,000