Consider the following monthly revenue data for an up-and-coming service company. Sales Data Month Revenue (Thousands of Dollars) Month Revenue (Thousands of Dollars) 1 321 10 821 2 542 11 833 3 540 12 850 4 581 13 862 5 641 14 858 6 700 15 861 7 698 16 873 8 710 17 879 9 799 18 884 The summary output from a regression analysis of the data is also provided. Regression Statistics Multiple R 0.914546247 R Square 0.836394838 Adjusted R Square 0.826169515 Standard Error 65.9880991 Observations 18 ANOVA df SS MS F Regression 1 356,176.743550 356,176.743550 81.79642505 Residual 16 69,670.867561 4354.429223 Total 17 425,847.611111 Coefficients Standard Error t Stat P-value Intercept 478.69934641 32.45045306 14.75169994 9.81150E-11 Month 27.11351909 2.997910942 9.044137607 1.09058E-07 Step 3 of 3 : What is the standard error for the model shown in the output? Round to four decimal places, if necessary