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    Regression

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    The regression equation is number of invoices per month = 138 + 0.000087 amount of sales

    Predictor Coef SE Coef T P
    Constant 137.78 31.61 4.36 0.001
    S= 10.7058 R-Sq=82.4% R-Sq(adj) = 80.7%
    Regression 1 5380.5 5380.5 46.95 0.000
    Residual error 10 1146.1 114.6
    Total 11 6526.7

    AMOUNT OF SALES NUMBER OF INVOICES PER MONTH
    2529436.37 372
    2541268.67 368
    2136722.9 328
    2886620.67 389
    2617799.32 347
    2541457.54 362
    2574591.31 365
    2146129.28 322
    2622806 346
    2476589.98 356
    2699229.26 378

    If you can use graphs or whatever in an effort to help me understand the regression analysis.

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    Solution Preview

    Please see the attached document.

    Can you please help me interpret and predict what the sales are going to look like in upcoming months based on a regression analysis?

    This is the information that I have and need to figure out as I was asked to interpret and predict.

    The regression equation is number of invoices per month = 138 + 0.000087
    amount of sales

    Predictor Coef SE Coef T P
    Constant 137.78 31.61 4.36 0.001
    S= 10.7058 R-Sq=82.4% R-Sq(adj) = 80.7%
    Regression 1 5380.5 5380.5 46.95 0.000
    Residual error 10 1146.1 114.6
    Total 11 6526.7

    AMOUNT OF SALES NUMBER OF INVOICES PER MONTH
    X Y

    2529436.37 ...

    Solution Summary

    Regression equations for the number of invoices per month are determined. A graph is used to understand the regression analysis. The solution answers the question(s) below.

    $2.49

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