A linear model is a mathematical representation that assumes a linear relationship between input variables and the output variable, often used for prediction and analysis in statistics and machine learning. It is characterized by its simplicity and interpretability, making it a foundational tool for understanding more complex models.

Linear Model

linear model

mathematical representation

A linear relationship describes a direct proportionality between two variables, where a change in one variable results in a consistent change in the other. This relationship is graphically represented by a straight line on a Cartesian plane, characterized by its slope and intercept.

linear relationship

input variables

output variable

prediction and analysis

Statistics is the science of collecting, analyzing, interpreting, presenting, and organizing data to make informed decisions and predictions. It provides the tools to handle variability and uncertainty in data, enabling researchers and analysts to draw valid conclusions and insights from empirical evidence.

statistics

Machine learning is a subset of artificial intelligence that involves the use of algorithms and statistical models to enable computers to improve their performance on a task through experience. It leverages data to train models that can make predictions or decisions without being explicitly programmed for specific tasks.

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