Question: SUMMARY OUTPUT Regression Statistics Multiple R R Square Adjusted R Square Standard Error Observations ANOVA 0.782425862 0.61219023 0.604434034 950.2950652 52 df SS MS F



SUMMARY OUTPUT Regression Statistics Multiple R R Square Adjusted R Square Standard

SUMMARY OUTPUT Regression Statistics Multiple R R Square Adjusted R Square Standard Error Observations ANOVA 0.782425862 0.61219023 0.604434034 950.2950652 52 df SS MS F Regression 1 71277851.51 71277851.51 78.9291912 Residual 50 45153035.54 903060.7109 Total 51 116430887.1 Intercept X Variable 1 Significance F 7.36486E-12 Coefficients Standard Error 1938.987565 1.137630836 797.165996 0.128050869 t Stat 2.432351072 8.884210218 P-value 0.018623144 7.36486E-12 Lower 95% 337.8325398 0.880433097 Upper 95% 3540.14259 1.394828576 Lower 95.0% 337.8325398 0.880433097 Upper 95.0% 3540.14259 1.394828576 In addition to the above information, use this information to answer Questions 1-6: Selling price per unit: After tax profit goal $2.50 $14,000 Tax Rate 40% Actual Unit Sales 12,000 Actual Production (units) 12,000 At the end of the year, you find your actual production and sales levels totaled 12,000 units, and your actual fixed overhead and variable costs were EXACTLY as you predicted, what was the amount of your pretax profit/loss for the year? (losses should be negative numbers. Round up to the nearest whole dollar).

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