Which R function fits a simple linear regression model of x predicting y?

Suppose you need to randomly assign 100 study subjects into one of 5 groups such that there are exactly 20 subjects in each group. Which of the following R functions creates a variable Y that randomly distributes the 100 study subjects into 5 groups of equal size?

What is an appropriate syntax for a 'for' loop in R to run specific simulation code nnn times?

What does 'x:y' mean in R?

What does the following R code output? seq(2,10, by=2)

Given the command: Z <- array(h, dim=c(3,4,2)), dim(Z) stands for:

Which function returns [1] TRUE FALSE TRUE? indat <- c("Ash Rd","Ash Cir","Ash St")

A list named a is created using the statement below. Which choice returns TRUE? a <- list("10", TRUE, 5.6)

X is a vector of type integer, as shown on line 1 below. What is the type of the result returned by the statement > median(x)? x <- c(12L, 6L, 10L, 8L, 15L, 14L, 19L, 18L, 23L, 59L)

How do you extract the values above the main diagonal from a square matrix named Rmat?

What is the legitimate name of a data class in R?