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 Month Hours Costs January 3, 200 $ 18, 750 February 3,600 $ 21, 700 March 2, 600 $ 13, 850 April 3, 800 $ 23, 700 May 4,500 $ 28, 600 June 4,000 $ 22, 700 July 5 , 200 $ 25, 100 August 4, 200 $ 23, 100 September 2, 700 $ 16, 200 October 4, 400 $ 26, 700 November 6,000 $ 31, 700 December 5 ,700 $ 28, 100 Summary Output Regression Statistics Multiple R 0.924 R Square 9. 854 Adjusted R2 0. 840 Standard Error 2, 090 . 15 Observations 12.00 Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Intercept 4, 863.95 2, 487.74 1.96 0.08 (679.08) 10, 406.98 Machine Hours 4.45 0.58 7. 66 0.00 3.15 5.74 The correlation coefficient for the regression equation for electricity costs is