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Thane Company is interested in establishing the relationship between electricity costs and machine hours. Data have...

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 3,000 $ 18,650
February 3,400 $ 21,500
March 2,400 $ 13,750
April 3,600 $ 23,500
May 4,300 $ 28,500
June 3,800 $ 22,500
July 4,600 $ 25,000
August 4,000 $ 23,000
September 2,500 $ 16,000
October 4,200 $ 26,500
November 5,600 $ 31,500
December 5,200 $ 28,000

    

Summary Output
Regression Statistics
Multiple R 0.952
R Square 0.906
Adjusted R2 0.897
Standard Error 1,676.51
Observations 12.00

Coefficients Standard Error t Stat P-value Lower 95% Upper 95%
Intercept 3,639.33 2,048.60 1.78 0.11 (925.25) 8,203.90
Machine Hours 5.04 0.51 9.83 0.00 3.89 6.18


Based on the results of the regression analysis, the estimate of electricity costs in a month with 2,700 machine hours would be: (rounded to the nearest whole dollar)

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Answer #1

Answer : $ 17,247.33 (or) $17,247.

Cost Equation :

Total cost = Intercept +( Machine hours co-efficient * Machine Hours )

Total Cost = 3,639.33+( 5.04*2700) =$ 17,247.33

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