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    Multiple Regression Model: Sum of Squares, Variatin, SSE, MSE, and R-Squared

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    Consider the following partial computer output for a multiple regression model.

    Predictor Coefficient Standard Deviation

    Constant 41.225 6.380
    X1 1.081 1.353
    X2 -18.404 4.547

    Analysis of Variance
    Source DF SS
    Regression 2 2270.11
    Error 26 3585.75

    Find Total Sum of Squares, Explained Variation, SSE, MSE, R-Squared, and Test the overall usefulness of the model at 1% level of significance calculating the F-Statistic.

    Please show work.

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    https://brainmass.com/statistics/regression-analysis/multiple-regression-model-sum-of-squares-variatin-sse-mse-and-r-squared-399346

    Solution Summary

    The solution provides step by step method for the calculation of regression analysis. Formula for the calculation and interpretations of the results are also included.

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