Interpretation for the regression coefficient

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Reference no: EM1376299

Chez Henri is a restaurant chain that operates in forty different cities. It employed an economist to determine the factors affecting the demand for its sales. The following equation was estimated using cross sectional data from each of its 40 restaurants.

Y : Annual restaurant sales (in thousands)
X1 : Disposable per capital income (in thousands) of the residents living within 5 miles of a restaurant
X2 : Population (in thousands) within a 5-mile radius of a restaurant
X3 : Number of competing restaurants within a 5-mile radius

The following information was obtained from the regression analysis:Multiple
R: 0.92
R-Square: 0.85
Std. Error of Est.: 0.40

Analysis of Variance
DF Sum of Squares Mean Square F-Stat
Regression 3 220 73.3 18.2
Residual 36 60 1.7

Variable Coefficient Std. Error T-Value
Constant 0.4 0.2 2.0
X1 0.01 0.004 2.5
X2 0.02 0.015 1.3
X3 -20.2 4.50 -4.6

Answer the following questions:
a. Give the estimated demand equation for predicting restaurant sales.
b. Provide an interpretation for each of the regression coefficients.
c. Which of the coefficients are statistically significant and which are not? Explain.
d. What percent of variation are restaurant sales explained by this equation?

Reference no: EM1376299

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