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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.

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 Machine Hours Electricity 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 $ 28,500

Summary Output
Regression Statistics
Multiple R 0.957
R Square 0.915
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 regression analysis to estimate costs, the estimate of the variable portion of electricity costs is:

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