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

** 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

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