Understanding Regression Analysis
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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)
What is Regression Analysis?
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Y = mx + b (Y = dependent variable, m = slope, x = independent variable, b = y-intercept)
The Formula
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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
Benefits of Regression Analysis
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Many online tutorials and courses available
Use free data analysis software like Excel or Google Sheets
Get Started with Regression Analysis!
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