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 April May June July August September October November December Machine Hours 2,600 3, eee 2, eee 3,280 3,900 3,480 4,280 3,600 2,1ee 3,800 4,8ee 4,300 Electricity Costs $19, 250 $22,7ee $14,350 $24,700 $29,100 $23,700 $25,600 $23,600 $17,200 $27,700 $32,7ee $28,600 Summary Output Regression Statistics Multiple R 0.955 R Square 0.912 Adjusted R2 2.984 Standard Error 1,630.46 Observations 12.00 Intercept Machine Hours Coefficients 4,476.65 5.76 Standard Error 1,979.98 0.56 t Stat P-value Lower 95% Upper 95% 2.26 0.05 64.99 8,888.32 10.28 0.00 4.5e 7.01 The percent of the total variance that can be explained by the regression is: Multiple Choice O 90.4% O 91.294 O 95.5% O 96.2%