Thane Company is interested in establishing the relationship between electricity costs and machine hours. Data have been collected and a regression analysis prepared using Excel. The monthly data and the regression output follow Month January February March Aprll May June July August September October November December Machlne Hours 2.000 2,400 1,400 3,300 2.800 3,600 1.500 3.200 4.200 3,700 Summary Ouput Regression Sta tistics Multlple R R Square Adjusted R Standard Error Obserwetlons Intercept Mechlne Hours gao 1,54517 1200 7465 gg 5.76 Electnclty Costs $ 18,950 $ 22100 $ 14,050 $ 24,100 $ 28.800 $ 23,100 $ 25,300 $ 23300 $ 16,600 $ 27,100 $ 32,100 $ 28,300 Standard Error 1.56661 053 t fiat 10.78 P- value coo coo Lower 3,97537 upper 10,95562 Based on the results of the regression analysis, the estimate of electricity costs in a month with 1,700 machine hours would be closest to: (rounded to the nearest whole dollar)