Write a function in python using gradient descent method to do multiple linear regression: For the starting point, use a vector of all 0's. Use step length of 0.000001. The function should take as inputs at least 3 arguments: design matrix X, response vector y, and starting point 0 (as a vector of all zeros). Run 1000 iterations and return vector of estimates beta and the objective function value at the final estimate.