# Lesson Plan: Scatter Diagram and Correlation

This lesson plan includes the objectives, prerequisites, and exclusions of the lesson teaching students how to interpret a scatter diagram to identify different types of correlation between two quantitative variables.

#### Objectives

Students will be able to

• draw and interpret a scatter diagram representing bivariate data,
• distinguish between explanatory (independent) and response (dependent) variables and their respective location in a scatter diagram,
• distinguish between positive and negative linear correlation,
• use a scatter diagram to determine the direction and the strength of correlation between two quantitative variables,
• determine when correlation does and does not lead to a causal relationship between two quantitative variables,
• understand when to exclude or include outliers of a data set when considering correlations.

#### Prerequisites

Students should already be familiar with

• quantitative variables,
• mean, median, and mode,
• standard deviation and interquartile range,
• outliers.

#### Exclusions

Students will not cover

• correlation coefficient,
• nonlinear correlation,
• bivariate data with nonlinear relations,
• linear regression,
• other regression models,
• lurking or confounding variables.