Suppose that the following are the generated values of 20 random variables from the distribution F, whose mean is unknown: 5, 4, 9, 6, 21, 12, 7, 14, 17, 11, 20, 7, 10, 21, 15, 26, 9, 13, 8, 6 How many additional random variables from F will we need to generate if we want to be 99 percent certain that our estimate of is correct to within }0.1?

#data analysis using hamilton data to predict y data=read.csv("hamilton.csv") #wewill check the performance of first-order model m1=lm(y~x1+x2, data) summary(m1) par(mfrow=c(1,3)) plot(data[,1], m1$res) plot(data[,2],m1$res) plot(fitted(m1),m1$res) #I did not observe an obvious pattern in the residual plots #we will present the partial residual plots on x1 partial=m1$res+coef(m1)[2]*data[,1]...