# Statistics - Scatterplots

A scatterplot is a graphical way to display the relationship between two quantitative sample variables. It consists of an X axis, a Y axis and a series of dots where each dot represents one observation from a data set. The position of the dot refers to its X and Y values.

## Patterns of Data in Scatterplots

Scatterplots are used to analyze patterns which generally varies on the basis of linearity, slope, and strength.

• Linearity - data pattern is either linear/straight or nonlinear/curved.

• Slope - direction of change in variable Y with respect to increase in value of variable X. If Y increases with increase in X, slope is positive otherwise slope is negative.

• Strength - Degree of spreadness of scatter in the plot. If dots are widely dispersed, the relationship is consider weak. If dot are densed around a line then the relationship is said to be strong.

## Useful Video Courses

Video

#### Class 11th Statistics for Economics

40 Lectures 3.5 hours

Video

#### Statistics

40 Lectures 2 hours

Video

#### Applied Statistics in Python for Machine Learning Engineers

66 Lectures 1.5 hours

Video

#### An Introduction to Wait Statistics in SQL Server

22 Lectures 1 hours

Video

#### Geospatial Data Science: Statistics and Machine Learning

60 Lectures 12 hours

Video

#### Basic Statistics & Regression for Machine Learning in Python

65 Lectures 5 hours