The Quantile-Quantile Plot or (Q-Q Plot) is defined as a value of two variables that are plotted corresponding to each other and check whether the distributions of two variables are similar or not with respect to the locations.

function in R Language is used to draw a Q-Q Line Plot.**qqline()**

Syntax:qqline(x, y, col)

Parameters:x, y:X and Y coordinates of plotcol:It defines color

Returns:A QQ Line plot of the coordinates provided

**Example 1:** Implementation of Basic QQplot Interpretation

`# Set seed for reproducibility` `set.seed` `(500)` ` ` `# Create random normally distributed values` `x <- ` `rnorm` `(1200)` ` ` `# QQplot of normally distributed values` `qqnorm` `(x) ` ` ` `# Add qqline to plot` `qqline` `(x, col = ` `"darkgreen"` `)` |

**Output:**

Above is a representation of QQplot of Normally Distributed Random Numbers.

**Example 2:** Implementation of QQplot of Logistically Distributed Values

`# Set seed for reproducibility` ` ` `# Random values according to logistic distribution` `# QQplot of logistic distribution` `y <- ` `rlogis` `(800) ` ` ` `# QQplot of normally distributed values` `qqnorm` `(y) ` ` ` `# Add qqline to plot` `qqline` `(y, col = ` `"darkgreen"` `)` |

**Output:**

Above is the Q-Q Plot of theoretical quantiles.