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Dominos Pizza

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Domino’s Pizza Demand and Forecast
ECO550
Rigo Benitez
Dr. Atia Yasmeen
Strayer University

Demographics and Independent Variables Analysis
Domino’s Pizza is planning to open a store in Annandale, VA, a median-size town about 10 miles outside of Washington D.C. Domino’s Pizza will do a demand and forecast to determine if it’s a good decision to open the store. The independent variables are population, mean household income, and pizza price as the independent variable. Annandale’s census population was 41,008 at the 2010 census, down from 54,994 in 2000 due to the splitting of the western part form Wakefield and Woodburn CDP's.
The population and household income should help determine if people are willing to pay the pizza price and how much is the demand for pizza. The population helps determine the demand for pizza because of the law of the demand, the larger population the larger the demand. The household income will help also because the more disposable income the more people will buy a common good. Pizza is a common good that people will buy more often if they have more disposable income. The following chart display the variables used to determine pizza demand.

Testing Coefficient of Determination Analysis Using Data Regression Analysis tools on Excel, the following results are used to determine the pizza demand in Annandale and if Domino’s Pizza should go ahead with the decision open the store.

Domino’s Pizza Final Analysis to Open the Store The coefficient of determination of the regression analysis measures R Square. The closer the output of R square is to one (1) the better the regression analysis tests the correlation coefficient of the variables used to forecast the demand of pizza. R square is 0.994689194 and is highlighted. The R square means that 99% of the data positively affected the pizza demand in the city of Annandale,

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