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

???