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    Economics - Regression Equation

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    Scenario 2: Below is a multiple regression in which the dependent variable is market value of houses and the independent variables are the age of the house and square footage of the house. The regression was estimated for 42 houses.

    SUMMARY OUTPUT

    Regression Statistics
    Multiple R 0.745495
    R Square 0.555762
    Adjusted R Square 0.532981
    Standard Error 7211.848
    Observations 42

    ANOVA
    df SS MS F Significance F
    Regression 2 2537650171 1.27E+09 24.39544 1.3443E-07
    Residual 39 2028419591 52010759
    Total 41 4566069762

    Coefficients Standard t Stat P-value Lower95%Upper95%
    Error
    Intercept 47331.38 13884.34664 3.408974 0.001528 19247.6673 75415.0958
    House Age -825.161 607.3128421 -1.35871 0.182046 -2053.5662 403.243744
    SquareFeet 40.91107 6.696523994 6.109299 3.65E-07 27.3660835 54.4560534

    Refer to Scenario 2 above. What is the estimated regression equation for determining the market value of houses?

    Refer to Scenario 2. If the age of a house increases by 1 year given that the square feet is held constant, what is the impact on the house's market value?

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    https://brainmass.com/economics/regression/economics-regression-equation-237998

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