---
title: "Linear Regressions for Causal Conclusions"
url: https://daily.dev/posts/linear-regressions-for-causal-conclusions-depi8ajod
source_url: https://towardsdatascience.com/linear-regressions-for-causal-conclusions-34c6317c5a11
type: article
source: "Medium"
published: 2024-04-10T10:58:33.567Z
updated: 2024-05-09T08:43:33.910Z
tags: ["data-analysis", "linear-regression"]
reading_time: 21
upvotes: 0
comments: 0
language: en
---

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# Linear Regressions for Causal Conclusions

**[Medium](https://daily.dev/sources/medium_js)** · 21 min read · 0 upvotes · 0 comments

## Summary

This article explores the applications of linear regression in causal analysis and discusses the differences between predictive and causal analytics. It also highlights the importance of considering confounders in causal inference.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://towardsdatascience.com/linear-regressions-for-causal-conclusions-34c6317c5a11>

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---

Tags: [#data-analysis](https://daily.dev/tags/data-analysis), [#linear-regression](https://daily.dev/tags/linear-regression)

[View this post on daily.dev](https://daily.dev/posts/linear-regressions-for-causal-conclusions-depi8ajod)