see attached

6 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: Machine Electricity Skipped Month Hours Costs January 2, 400 $19, 150 February 2, 800 $22, 500 March 1, 800 $14, 250 April 3, 000 $24, 500 May 3, 700 $29, 000 June 3, 200 $23, 500 July 4, 000 $25, 500 August 3, 400 $23, 500 September 1, 900 $17 , 000 October 3, 600 $27 , 500 November 4, 600 $32, 500 December 4, 100 $28, 5006 Summary Output Regression Statistics Multiple R 0.957 0 . 915 Skipped R Square Adjusted R2 0. 907 Standard Error 1, 600 .66 observations 12 .00 Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Intercept 5, 472 . 38 1, 836.37 2.98 0 . 01 1, 380. 70 9, 564. 07 Machine Hours 5.76 0 . 55 10 .40 0.00 4.52 6. 99 If the controller uses the high-low method to estimate costs, the variable cost per machine hour is