Understanding Regression Analysis

A statistical technique to model the relationship between a dependent variable (what you want to predict) and one or more independent variables (what you think influences it)

Y = mx + b (Y = dependent variable, m = slope, x = independent variable, b = y-intercept)

The Formula

Question: How does studying hours (independent variable) affect exam scores (dependent variable)?

Regression analysis helps us find the equation that best fits the data points of students' studying hours and their exam scores.

Real World Example

Simple Linear Regression: One independent variable Multiple Linear Regression: Two or more independent variables

Different Types of Regression

Makes predictions about future outcomes Identifies how strong the relationship is between variables Helps us understand cause and effect

Many online tutorials and courses available Use free data analysis software like Excel or Google Sheets