(2) Compute the Akaike Information Criterion (AIC) value for the linear regression model Y = b0 + b1*X1 + b2*X2 + 63*X3. The regression model was fitted on a sample of 250 observations and yielded a likelihood value of 0. 18. O (a) 9.49 O (b) 11.43 O (c) 25.52 O (d) 15.55