Consider The Following Monthly Revenue Data For An Up And Coming Service Company Sales Data Month Revenue Thousands Of 1 (49.57 KiB) Viewed 123 times
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) 1 326 10 816 2 552 11 827 3 535 12 846 4 571 13 858 5 636 14 870 6 685 15 874 7 700 16 869 8 705 17 881 9 787 The summary output from a regression analysis of the data is also provided.
Regression Statistics 0.930323379 Multiple R R Square Adjusted R Square 0.865501589 0.856535028 Standard Error 60.08566869 Observations 17 ANOVA df SS MS F Regression 1 348,484.745098 348,484.745098 96.52548092 Residual 15 54,154.313725 3610.287582 Total 16 402,639.058824 Coefficients Standard Error t Stat P-value Intercept 462.73529412 30.48143907 15.18088739 1.63886E-10 Month 29.2254902 2.974683861 9.824738211 6.30250E-08
Step 1 of 3: Write the estimated regression equation using the least squares estimates for bo and b1. Round to four decimal places, if necessary. Answer Tables Keypad Keyboard Shortcuts Revenues + Month)
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