# Regression

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.