Given the following dataset and assuming the following: - There is a linear relationship between x (input) and y (output) values, and accordingly, a decision was made to use linear regression as a basis for predicting the y value based on a given x value. - The learning rate, =0.01 - k=n1 - B(0)=[00] (i.e., initialize 0(0)=1(0)=0 ) Answer the following questions: 1) Express the learning model after the first iteration using the Gradient Decent algorithm. 2) Based on the solution of part (1), what is the predicated y value for x=3 ? 3) Calculate the cost function (error function) after the first iteration