We consider the following data set concerning House pricing. The table presents the values of two features (Area and Number of rooms) and the house price. 1- One variable Linear Regression We consider only the Area feature for estimating the price of house. We suggest to use a Linear Regression model the relationship between the Area (x) - House price (y).(y=wx+b) a) Compute w and b the parameters of the Linear regression b) Compute the obtained cost function J(w,b)=i=1m(yiy^i)2 c) Compute the corresponding R2 d) For computing the values of w,b, we suggest using the Gradient Descent, with a learning rate =0.1. Compute the update of the parameters for three iterations of the GD