question:

ConsiderX = [0.0 0.2 0.4 0.6 0.8 1.0]T as the independent variable and y = [false false false true false true]T as the response. Write down the loglikelihood function, (n,1), for the logistic regression problem and first order optimality conditions. Note that this problem of finding optimal ((30,181) can only be solved numerically. Use NewtonRaphson algorithm and perform 10 iterations. Hint: Use library[matlib) for calculating matrix inverses