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Tony Pena, owner and manager of Tony’s Pizza. This is a small store that delivers 12-inch pepperoni pizzas for phoned-in orders. Each pizza sells for $10. Tony has the following data concerning the prior 12 months of operations:Tony Pena, owner and manager of Tonys Pizza. This is a small store that delivers 12-inch pepperoni pizzas for phoned-in ordec) Use Excel to determine the cost function parameters using least squares regression. Write down the total fixed cost amount

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SUMMARY OUTPUT
Regression Statistics
Multiple R 0.96656242
R Square 0.93424292
Adjusted R Square 0.92766721
Standard Error 1004.89638
Observations 12
ANOVA
df SS MS F Significance F
Regression 1 143469578.9 143469579 142.074868 3.1122E-07
Residual 10 10098167.32 1009816.73
Total 11 153567746.3
Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0%
Intercept 26324.5004 1037.538848 25.3720624 2.0742E-10 24012.7198 28636.281 24012.7198 28636.281
X Variable 1 2.54514756 0.213527756 11.9195163 3.1122E-07 2.06937807 3.02091704 2.06937807 3.02091704
Fixed Cost = Intercept $ 26,324.50
Variable cost per unit $          2.55 per pizza prepared
Equation: Cost = $26,324.50 + $2.55 x
R Square 93.42%
Yes, It has  the higher the R-squared, the better the model fits  to the data.
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