Perform Linear Regression Analysis in R Programming – lm() Function

Last Updated : 24 Jun, 2020

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 ~ y

Example 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 

Output:

Call:
lm(formula = x ~ y)

Coefficients:
(Intercept)            y  
  1.589e-15    5.000e-01

Example 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 

Output:

Call:
lm(formula = y ~ x)

Coefficients:
(Intercept)            x  
         -1            1

Suggest improvement

Regression Analysis in R Programming

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Perform Linear Regression Analysis in R Programming – lm() Function

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