The manager of the purchasing department of a large banking organization would like to develop a model to predict the amount of time (measured in hours) it takes to process invoices. Data are collected from a sample of 30 days, and the number of invoices processed and completion time in hours is recorded.Below is the regression output:

Regression Statistics Multiple R 0.9447 R Square 0.8924 Adjusted R 0.8886 Square Standard 0.3342 Error Observations 30 ANOVA df SS MS F Significance F Regression 25.9438 25.9438 232.2200 4.3946E-15 Residual 28 3.1282 0.1117 Total 29 29.072 Coefficients Standard t Stat P-value Lower 95% Upper 95% Error Intercept 0.4024 0.1236 3.2559 0.0030 0.1492 0.6555 Invoices 0.0126 0.0008 15.2388 4.3946E-15 0.0109 0.0143 Processed