\fThe value of a sports franchise is directly related to the amount of revenue that a franchise can generate. The data below gives the value and the annual revenue for 15 major sport teams. The results are csplayod in the accompanying table. and the regression equation and other values are shown below. Use this information to complete parts (a)through to) below. n n n $.- = 522_1240+4_aeem, 2 vi: 1144, E vf=3,eos,ezo, 2 xvi=1,elo,233 i=1 i=1 i=1 a. Determine the coefficient Waging. r2, and interpret its meaning. r2 = (Round to four decimal places asneeded.) What is the meaning of the coefcient ofdetermination? A. It measures the variability in the actual franchise value from the predicted waiting times. B. It measures the variability in the actual annual revenue from the predicted annual revenue. C. It is the proportion of the variation in annual revenue that W by the variability in franchise value. D. It is the proportion of the variation in franchise value that m by the variability in annual revenue. b. Determine the standard error of the estimate. SYX = (Round to four decimal places asneeded.) c. How useful do you think this regression model is for predicting the value of a major sports franchise? Since the value of r2 is [fairly close to 1 , equal to 1, equal to D, fairly close to 0 ], the regression model is [ fairly useful , not very useful ]for predicting the value of a major sports franchise