Linear Regression
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What is Linear Regression?
Linear regression is a statistical method used to model the relationship between a dependent variable and one or more independent variables by fitting a linear equation to observed data. It aims to find the best-fitting line (in simple linear regression) or plane (in multiple linear regression) that minimizes the difference between the predicted values and the actual values of the dependent variable. This allows for predicting future values or understanding the influence of the independent variables on the dependent variable.
Free resources to learn Linear Regression
- CourseIntro to Inferential Statistics
- ArticleWhat Is Linear Regression?
- ArticleLinear regression
More in stage 14: Regression Analysis
Linear Regression: common questions
Can I learn Linear Regression in Hindi?
This lesson is written in English. Once you sign in, open it in the interactive course and ask the AI tutor to explain Linear Regression in Hindi or Hinglish. The tutor answers from this lesson’s own text, so it stays on the syllabus, and it runs on your own Google, OpenAI or Anthropic key.
Is this Linear Regression tutorial for beginners?
It is lesson 41 of 200 in the free BI Analyst roadmap, in stage 14, Regression Analysis. If you are new to BI Analyst, start from stage 1 and come back here in order; if you already know the earlier stages, this lesson stands on its own.