(1) Compute the Akaike Information Criterion (AIC) value for the linear regression model
Y = b0 + b1*X1 + b2*X2 + b3*X3.
The regression model was fitted on a sample of 250 observations and yielded a likelihood value of 0.18.



(a) 9.49

(b) 11.43

(c) 25.52

(d) 15.55


(2) Compute the Bayesian Information Criterion (BIC) value for the linear regression model
Y = b0 + b1*X1 + b2*X2 + b3*X3.
The regression model was fitted on a sample of 250 observations and yielded a likelihood value of 0.18.

(a) 9.49

(b) 11.43

(c) 25.52

(d) 15.55



Can someone confirm if the above is

1) b
2) c

???