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Thane Company Is Interested in Establishing the Relationship Between Electricity

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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.The monthly data and the regression output follow:  Month  Machine Hours  Electricity Costs  January 2,50018,400 February 2,90021,000 March 1,90013,500 April 3,10023,000 May 3,80028,250 June 3,30022,000 Juby 4,10024,750 August 3,50022,750 September 2,00015,500 October 3,70026,000 November 4,70031,000 December 4,20027,750\begin{array} { | l | r | r | } \hline \text { Month } & \text { Machine Hours } & \text { Electricity Costs } \\\hline \text { January } & 2,500 & 18,400 \\\hline \text { February } & 2,900 & 21,000 \\\hline \text { March } & 1,900 & 13,500 \\\hline \text { April } & 3,100 & 23,000 \\\hline \text { May } & 3,800 & 28,250 \\\hline \text { June } & 3,300 & 22,000 \\\hline \text { Juby } & 4,100 & 24,750 \\\hline \text { August } & 3,500 & 22,750 \\\hline \text { September } & 2,000 & 15,500 \\\hline \text { October } & 3,700 & 26,000 \\\hline \text { November } & 4,700 & 31,000 \\\hline \text { December } & 4,200 & 27,750 \\\hline\end{array}
 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:  \begin{array} { | l | r | r | }  \hline \text { Month } & \text { Machine Hours } & \text { Electricity Costs } \\ \hline \text { January } & 2,500 & 18,400 \\ \hline \text { February } & 2,900 & 21,000 \\ \hline \text { March } & 1,900 & 13,500 \\ \hline \text { April } & 3,100 & 23,000 \\ \hline \text { May } & 3,800 & 28,250 \\ \hline \text { June } & 3,300 & 22,000 \\ \hline \text { Juby } & 4,100 & 24,750 \\ \hline \text { August } & 3,500 & 22,750 \\ \hline \text { September } & 2,000 & 15,500 \\ \hline \text { October } & 3,700 & 26,000 \\ \hline \text { November } & 4,700 & 31,000 \\ \hline \text { December } & 4,200 & 27,750 \\ \hline \end{array}     The percent of the total variance that can be explained by the regression is:  A)  0.965. B)  0.932. C)  0.925. D)  0.982.
The percent of the total variance that can be explained by the regression is:


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