Chis is a subjective question, hence you have to write your answer in the Text-Field given below. 5+5=10Marks A. What is the best curve of the form y=a+bx+cx2 in terms of minimizing square error that fits the following training dataset (x,y):(1,0),(1,10),(2,24),(2,4)? B. Recall in logistic regression, probability of a response variable Y is calculated by P(Y=1)=1/(1+exp(f(x)) where x is the set of explanatory (independent) variables. Assume, f(x)=w0+w1x. Note, a commonly used quantity, log odds is defined as loge(P(Y=1)/P(Y=0)). An experiment was designed to examine how well a chemical kills an insect, that feeds on a plant species. The explanatory variable is the concentration (in log of milligrams per liter) of the chemical. At each concentration, approximately 50 insects were exposed. Each insect was either killed or not killed. We summarize the data using the number killed. The response variable for logistic regression is the log odds of the proportion killed. Here are the data: i) Estimate the logistic regression parameters w0 and w1. ii) If concentration (in log of milligrams per liter) =1.75, estimate the % of insects killed