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    Multiple regression analysis on Income using GPA, Age, & Gender

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    31.) A multiple regression analysis between yearly income (Y in $1,000s), college grade point average (X1), age of the individuals (X2), and the gender of the individual (X3; zero representing female and one representing male) was performed on a sample of 10 people, and the following results were obtained.

    Coefficients Standard Error

    Intercept 4.0928 1.4400
    X1 10.0230 1.6512
    X2 0.1020 0.1225
    X3 -4.4811 1.4400

    ANOVA
    DF SS MS F
    Regression 360.59
    Residual (Error) 23.91

    a. Write the regression equation for the above.

    b. Interpret the meaning of the coefficient of X3.

    c. Compute the coefficient of determination.

    d. Is the coefficient of X1 significant? Use ± = 0.05.

    e. Is the coefficient of X2 significant? Use ± = 0.05.

    f. Is the coefficient of X3 significant? Use ± = 0.05.

    g. Perform an F test and determine whether or not the model is significant.
    Use ± = 0.05.

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    https://brainmass.com/statistics/regression-analysis/multiple-regression-analysis-income-using-gpa-age-gender-334275

    Solution Preview

    (a) Y = 10.0230X1 + 0.1020X2 - 4.4811X3 + 4.0928

    (b) If the gender is male, the income reduces by approximately $4481.10

    (c) r^2 = SSR/SST = 360.59/(360.59 + 23.91) ...

    Solution Summary

    The Correct Answers are provided.

    $2.19

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