library(ISLR) #load dataset library(dplyr) library(ggplot2)
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str(Auto) # Check the structure of the dataset sapply(Auto[,
sapply(Auto, is.numeric)], range) data_summary <- Auto %>%
summarise(across(where(is.numeric), list(mean = mean, sd = sd), na.rm =
TRUE)) data_summary Auto_filtered <- Auto[-c(10:85), ]
sapply(Auto_filtered[, sapply(Auto_filtered, is.numeric)], function(x)
c(range(x), mean = mean(x), sd = sd(x))) ggplot(Auto, aes(x =
horsepower, y = mpg)) + geom_point() + geom_smooth(method = “lm”)
cor(Auto[, sapply(Auto, is.numeric)])