8. Hayes Consulting Company builds database and point-of-sale systems for golf courses and country clubs. Mr. Hayes is trying to determine total revenues for the coming year and feels he can estimate revenues based on the number of customers each month. He gathers the following data for the prior 12 months: Month Customers Sales January 222 $2,681,554 February 196 $2,403,559 March 243 $3,021,324 April 139 $1,684,360 May 175 $2,171,832 June 144 $1,745,904 July 184 $2,389,984 August 181 $2,321,345 September 145 $1,840,303 October 237 $2,922,339 November 144 $1,835,080 December 221 $2,637,129 He performed a regression analysis on the data provided (output below). Is there a strong correlation between Hayes Consulting's revenues and the number of customers? Regression Statistics Multiple R 0.991749555 RSquare 0.98356718 Adjusted R Square 0.981923898 Standard Error 61692.41626 Observations 12 ANOVA Regression Residual Total SS MS 1 2.27801E+12 2.27801E+12 596.5382733 10 38059542234 3805954223 11 2.316076-12 Coefficients Standard Error 88848.93902 Significance F 2.96931E-10 Intercept XVariable 1 11917.63906 92299.86502 487.1293138 Stot 0.962611798 24 46504186 Psalue 0358441447 2.969316-10 Lower 95% -1168079763 Upper 95% 294505.8543 10832.2473 13003.03081 Lower 95.0% -116807.9763 10832.2473 Upper 95 0% 294505.8543 13003.03081