Explore BrainMass
Share

Explore BrainMass

    Interpreting the given regression results

    This content was COPIED from BrainMass.com - View the original, and get the already-completed solution here!

    Chez Henri is a restaurant chain that operates in 40 different cities. It hired an economist to estimate 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?

    © BrainMass Inc. brainmass.com October 10, 2019, 6:21 am ad1c9bdddf
    https://brainmass.com/economics/regression/interpreting-the-given-regression-results-540586

    Solution Preview

    a. Give the estimated demand equation for predicting restaurant sales.

    Y=0.4+0.01*X1+0.02*X2-20.2*X3

    b. Provide an interpretation for each of the regression coefficients.

    Coefficient of X1 is a positive value. It shows that Y and X1 has direct relationship which shows that Y will increase for any increase in X1 and Y will decrease for any decrease in X1. Its value is 0.01. It means that for every one thousand increase in per disposable capita income of the ...

    Solution Summary

    Solution determines the estimated demand equation and interprets the obtained regression coefficients and parameters.

    $2.19