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Making Decisions Based on Demand and Forecasting

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Assignment 1: Making Decisions Based on Demand and Forecasting

Managerial Economics and Globalization, ECO550

Making Decisions Based on Demand and Forecasting

A market demand analysis is used to help understand how much consumer demand there is for a given product or service. This type of analysis will help determine if a business can successfully enter a market and generate enough revenue and profit to maintain the business. One must identify the market and the growth potential. Domino’s Pizza was incorporated in 1963 and has been franchising since 1967. A traditional Domino’s store is located in shopping centers and/or strip malls with appropriate parking for delivery vehicles and walk-in customers for …show more content…

The position coefficient shows that as the independent variable changes the quantity demanded changes in the same direction. Using the data collected on Morehead City in another example: | Domino’s Pizza = Growth Forecast based on Pizza Price | | | | | | | | | | | | | | | | Regression Statistics | | | | | | | | Multiple R | 0.996320672 | | | | | | | | R Square | 0.992654881 | | | | | | | | Adjusted R Square | 0.985309761 | | | | | | | | Standard Error | 328.6398738 | | | | | | | | Observations | 3 | | | | | | | | | | | | | | | | | ANOVA | | | | | | | | | | df | SS | MS | F | Significance F | | | | Regression | 1 | 14596204.5 | 14596204.5 | 135.144828 | 0.054627666 | | | | Residual | 1 | 108004.1667 | 108004.167 | | | | | | Total | 2 | 14704208.67 | | | | | | | | | | | | | | | | | Coefficients | Standard Error | t Stat | P-value | Lower 95% | Upper 95% | Lower 95.0% | Upper 95.0% | Intercept | 28020.81833 | 1635.404715 | 17.133874 | 0.03711352 | 7241.031202 | 48800.6055 | 7241.0312 | 48800.6055 | X Variable 1 | -2701.5 | 232.3834833 | -11.6251808 | 0.05462767 | -5654.212117 | 251.212117 | -5654.21212 | 251.212117 | | | | | | | | | | | | | | | | | | | | | | | | | | | | | RESIDUAL OUTPUT | | | | | |

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