7 Thane Company is interested in establishing the relationship between electricity costs and machine hours and regression analysis prepared using Excel The monthly data and the regression output follow A January February March April May June July August September October November December 3, see 3.700 2,700 3,900 5,200 4,100 5,180 4,300 2,800 4,500 6,200 $18,800 $21,800 $13,900 $23,800 $28,650 $22,800 $25,150 $23,150 $16,300 $26,800 $31,800 $28,150 5,700 Summary Output Regression Statistics 12 D Next > Scary Output Regression Stateties Multiple R R Square 0.916 Adjusted R2 0.908 Standard Error 1,584.49 Observations 12.00 Intercept Machine Hours Coefficients 3,998.65 4.53 Standard Error 1,911.12 0.43 t Start 2.09 10.47 p-value 0.86 0.00 Lower 95% Upper 95% (259.71) 8,257.01 3.56 5.49 the controller uses regression analysis to estimate costs, the estimate of the fixed portion of electricity costs O Fixed Cost = $4.53. Fixed Cost = $1,911.17. Fixed Cost = $1,584.49. O Fixed Cost = $3,998.65