Linear regression - Wikipedia
In statistics, linear regression is a model that estimates the linear relationship between a scalar response (dependent variable) and one or more explanatory variables (regressor or independent variable).
Linear regression calculator - GraphPad
Linear regression is used to model the relationship between two variables and estimate the value of a response by using a line-of-best-fit. This calculator is built for simple linear regression, where only one predictor variable (X) and one response (Y) are used.
Linear regression | Definition, Formula, & Facts | Britannica
2024年12月6日 · Linear regression, in statistics, a process for determining a line that best represents the general trend of a data set. The simplest form of linear regression involves two variables: y being the dependent variable and x being the independent variable.
Regresi Linear: Pengertian, Jenis, dan Tujuannya - Akademia
2024年2月6日 · Regresi Linear adalah konsep statistika yang mendasar, menjadi landasan penting dalam analisis data. Dalam dunia statistika, Regresi Linear menjadi jantung dari pemahaman hubungan antara variabel dependen dan independen.
Simple Linear Regression: Everything You Need to Know
2024年9月28日 · Learn simple linear regression. Master the model equation, understand key assumptions and diagnostics, and learn how to interpret the results effectively.
Linear Regression in Machine learning - GeeksforGeeks
2024年12月16日 · Linear regression is a type of supervised machine learning algorithm that computes the linear relationship between the dependent variable and one or more independent features by fitting a linear equation to observed data.
Simple Linear Regression | An Easy Introduction & Examples
2020年2月19日 · Simple linear regression is used to estimate the relationship between two quantitative variables. You can use simple linear regression when you want to know: How strong the relationship is between two variables (e.g., the relationship between rainfall and soil erosion).
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