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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.

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