Chapter 3 Lab.txt - Chapter 3 Lab Linear Regression...

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# Chapter 3 Lab: Linear Regression library(MASS) library(ISLR) # Simple Linear Regression fix(Boston) names(Boston) lm.fit=lm(medv~lstat) lm.fit=lm(medv~lstat,data=Boston) attach(Boston) lm.fit=lm(medv~lstat) lm.fit summary(lm.fit) names(lm.fit) coef(lm.fit) confint(lm.fit) predict(lm.fit,data.frame(lstat=(c(5,10,15))), interval="confidence") predict(lm.fit,data.frame(lstat=(c(5,10,15))), interval="prediction") plot(lstat,medv) abline(lm.fit) abline(lm.fit,lwd=3) abline(lm.fit,lwd=3,col="red") plot(lstat,medv,col="red") plot(lstat,medv,pch=20) plot(lstat,medv,pch="+") plot(1:20,1:20,pch=1:20) par(mfrow=c(2,2)) plot(lm.fit) plot(predict(lm.fit), residuals(lm.fit)) plot(predict(lm.fit), rstudent(lm.fit)) plot(hatvalues(lm.fit)) which.max(hatvalues(lm.fit)) # Multiple Linear Regression lm.fit=lm(medv~lstat+age,data=Boston) summary(lm.fit) lm.fit=lm(medv~.,data=Boston)
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