Chez Henri is a restaurant chain that operates in 40 utterly completely different cities. It employed an economist to estimate the elements affecting the demand for its product sales. The subsequent equation was estimated using cross sectional data from each of its 40 consuming locations.YAnnual restaurant product sales (in tons of)X1Disposable per capital earnings (in tons of) of the residents dwelling inside 5 miles of a restaurantX2Population (in tons of) inside a 5-mile radius of a restaurantX3Number of competing consuming locations inside a 5-mile radiusThe following information was obtained from the regression analysis:A lot of R: zero.92R-Sq.: zero.85Std. Error of Est.: zero.40Analysis of VarianceDFSum SquaresMean Sqr.F-StatRegression322073.318.2Residual36601.7VariableCoefficientStd. ErrorT-ValueConstant0.40.22.0X10.zero10.0042.5X20.zero20.0151.3X3-20.24.50-4.6Answer the subsequent questions:a. Give the estimated demand equation for predicting restaurant product sales.b. Current an interpretation for each of the regression coefficients.c. Which of the coefficients are statistically vital and which are not? Make clear.d. What p.c of variation are restaurant product sales outlined by this equation?

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