--- title: Linear Regression-What, Why & How? | daily.dev description: Linear regression is a statistical method used to understand the relationship between variables and make predictions. It has assumptions about linearity,... canonical: https://daily.dev/posts/linear-regression-what-why-how--97vtp10nb twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: Linear Regression-What, Why & How? | daily.dev og:description: Linear regression is a statistical method used to understand the relationship between variables and make predictions. It has assumptions about linearity,... og:url: https://daily.dev/posts/linear-regression-what-why-how--97vtp10nb og:image: https://api.daily.dev/og/posts/97vTP10nb.png og:image:alt: Linear Regression-What, Why & How? og:image:width: 1200 og:image:height: 630 og:locale: en --- > ## Documentation Index > Fetch the complete documentation index at: https://daily.dev/llms.txt > Use this file to discover all available pages before exploring further. # Linear Regression-What, Why & How? **[GoPenAI](https://daily.dev/sources/gopenai)** · 2 min read · 7 upvotes · 0 comments ## Summary Linear regression is a statistical method used to understand the relationship between variables and make predictions. It has assumptions about linearity, independence, homoscedasticity, normality of residuals, no multicollinearity, and no influential outliers. It is popular due to its simplicity, interpretability, and usefulness for modeling continuous outcomes. The algorithm involves calculating coefficients using mathematical equations and can be extended to multiple dimensions using matrix notation. Regularization techniques like L1 and L2 can be used to prevent overfitting. R2 score is a metric used to assess the model's fit to the data. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: --- Tags: [#machine-learning](https://daily.dev/tags/machine-learning), [#data-analysis](https://daily.dev/tags/data-analysis), [#math](https://daily.dev/tags/math), [#statistics](https://daily.dev/tags/statistics), [#linear-regression](https://daily.dev/tags/linear-regression) [View this post on daily.dev](https://daily.dev/posts/linear-regression-what-why-how--97vtp10nb) ```json {"@context":"https://schema.org","@graph":[{"@type":"Organization","@id":"https://daily.dev/#organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180},"sameAs":["https://twitter.com/dailydotdev","https://github.com/dailydotdev","https://www.linkedin.com/company/daily-dev-ltd"]},{"@type":"WebSite","@id":"https://daily.dev/#website","url":"https://daily.dev","name":"daily.dev","publisher":{"@id":"https://daily.dev/#organization"},"potentialAction":{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https://daily.dev/search?q={search_term_string}"},"query-input":"required name=search_term_string"}}]} {"@context":"https://schema.org","@type":"TechArticle","headline":"Linear Regression-What, Why & How?","url":"https://daily.dev/posts/linear-regression-what-why-how--97vtp10nb","mainEntityOfPage":{"@type":"WebPage","@id":"https://daily.dev/posts/linear-regression-what-why-how--97vtp10nb"},"datePublished":"2024-04-30T15:49:48.831Z","dateModified":"2024-05-09T07:52:51.999Z","description":"Linear regression is a statistical method used to understand the relationship between variables and make predictions. 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