This is a subjective question, hence you have to write your answer in the Text-Field given below. A. It is known that a natural law obeys the quadratic relationship, y=Ax2 where predictor x is a continuous random variable, uniformly distributed between 1 and +1 and y is a real valued response variable. What is the best linear curve of the form y=ax+b that can be used to model this data? That is, find the optimal values of a and b in terms of A that minimize the loss function! B. Consider a table with a single attribute "wind" and category "rain", where "wind" can take two attribute values - high and low, and "rain" has two classes - yes and no. There are 10 entries in the table, and it is known that 8 entries in the table have wind=high. It is also known that 8 entries in the table also have rain=yes. What is the highest and lowest possible information gain associated with attribute "wind"? 5+5=10Marks