Linear regression models a response as a linear function of one or more predictors.
What Is Linear Regression?
Linear regression models a response as a linear function of one or more predictors.
Examples of Linear Regression
1
y≈2x+1 can fit data points with a straight line.Formula and Key Points
Formula / rule
ŷ=β₀+β₁x
- Know the definition and standard notation for Linear Regression.
- Be able to recognise or compute linear regression in a small example.
- Connect the concept to nearby topics in the same subject before using it in larger CSE problems.
Why This Matters in Computer Science
Used in data analysis, machine-learning evaluation, experiments, monitoring and performance measurement. Used for prediction, trend modelling and as a foundation for more advanced machine-learning methods.
Related Math Terms
Linear Regression: Frequently Asked Questions
What is Linear Regression?
Linear regression models a response as a linear function of one or more predictors.
Why is Linear Regression useful in computer science?
Used in data analysis, machine-learning evaluation, experiments, monitoring and performance measurement. Used for prediction, trend modelling and as a foundation for more advanced machine-learning methods.