Perform Linear Regression Analysis in R Programming - lm() Function
Last Updated :
24 Jun, 2020
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lm() function in R Language is a linear model function, used for linear regression analysis.
Syntax: lm(formula) Parameters: formula: model description, such as x ~ yExample 1:
# R program to illustrate
# lm function
# Creating two vectors x and y
x <- c(rep(1:20))
y <- x * 2
# Calling lm() function to
# fit a linear model
f <- lm(x ~ y)
# Getting linear model
f
Call: lm(formula = x ~ y) Coefficients: (Intercept) y 1.589e-15 5.000e-01Example 2:
# R program to illustrate
# lm function
# Creating two vectors x and y
x <- c(2, 4, 6, 8)
y <- c(1, 3, 5, 7)
# Calling lm() function to
# fit a linear model
f <- lm(y ~ x)
# Getting linear model
f
Call:
lm(formula = y ~ x)
Coefficients:
(Intercept) x
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