A legal firm wanted to determine the relationship between its monthly operating costs and a potential cost driver, professional hours. An excerpt from the output of a regression analysis performed using Excel showed the following information: E (Click the icon to view the regression data) a. Given this output, write the legal firm's monthly cost equation. b. Should management use this equation to predict monthly operating costs? Explain your answer. a. Given this output, write the legal firm's monthly cost equation. (Enter all amounts to the nearest cent, X.XX.) The legal firm's monthly cost equation is: y = $ X + $ b. Should management use this equation to predict monthly operating costs? Explain your answer. Determine the R-square (use the output from the Excel regression). Review the regression analysis and locate the amount that is labeled R-square. The R-square is SUMMARY OUTPUT 0.83 Regression Statistics Multiple R R Square Adjusted R Square 0.69 0.63 Standard Error 127.8 Observations 12 ANOVA df SS MS F Significance F Regression 1 185,536.45 11.36 0.02 185,536.45 81,663.55 10 Residual 16,332.71 11 267,200.00 Total