For questions 13 ~ 20, consider the sample wine quality data set R and a query, q = (90, 1). to column is the real valued target (truth). The higher quality wine has the higher t, score value. f1 71 20 2 2 60 3 1 100 4 TA 120 3 T'S 40 7 CHA T6 140 2 8 120 1 7 13. Find the variance o?. O'(X) = (8) o'(f2) = 14. Find the correlation coefficient p. [ (I - Hx)(gi - Hg) p(I, g) = (9) p(f2, tr) = 15. Find the best fitting line for the ordinary (formula based) linear regression to predict tri LR2(f2) = 16. According to the linear regression models in 15, what is the expected quality of wine if f2 = 1? LR2(f2 = 1) = 17. What is R of the linear regression model in 15 on the wine dataset R? R-(LR2(f2)) =