Linear Regression
Linear Regression is a foundational statistical method and supervised learning algorithm used to model the relationship between a dependent variable and one or more independent variables by fitting a linear equation to observed data.
Frequently Asked Questions
What is the equation for simple linear regression?▼
y = mx + b where y is the target, x is the feature, m is the slope (weight), and b is the intercept (bias).
What is Ordinary Least Squares (OLS)?▼
OLS is a method for estimating the parameters in linear regression by minimizing the sum of squared residuals (errors) between predicted and actual values.
Quick Facts
- CategoryFoundational AI
- Key ApplicationValue prediction, trend forecasting, and baseline machine learning benchmarks
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