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- #1
- library(UsingR)
- data(Cars93)
- dataset = Cars93
- attach(Cars93)
- dataset
- ?Cars93
- #a
- model1 = lm(MPG.highway~Horsepower)
- summary(model1)
- plot( Horsepower, MPG.highway)
- abline(model1)
- newdata = data.frame(Horsepower = 225)
- predict(model1,newdata,interval="predict",level=0.95)
- #b
- model1 = lm(MPG.highway~Weight)
- summary(model1)
- plot( Weight, MPG.highway)
- abline(model1)
- newdata = data.frame(Weight = c(6400, 2524))
- predict(model1,newdata,interval="predict",level=0.95)
- #2
- install.packages("TH.data")
- data("bodyfat", package="TH.data")
- dataset = bodyfat
- attach(bodyfat)
- dataset
- model1 = lm(DEXfat~age+waistcirc+hipcirc)
- summary(model1)
- newdata = data.frame(age = 47, waistcirc = 67,hipcirc = 135 )
- predict(model1,newdata,interval="predict",level=0.95)
- #3
- library(UsingR)
- data(stud.recs)
- dataset = stud.recs
- attach(stud.recs)
- dataset
- model1 = lm(num.grade~sat.m)
- summary(model1)
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