From 2058bdcf1d19053c2dbdebb302fbf4aa9e34f348 Mon Sep 17 00:00:00 2001
From: Abhishek IJ <136907156+Abhishek2003ij@users.noreply.github.com>
Date: Tue, 31 Mar 2026 22:03:54 +0530
Subject: [PATCH] Enhance README with types of correlation

Added types of correlation with examples to README.
---
 README.md | 4 ++++
 1 file changed, 4 insertions(+)

diff --git a/README.md b/README.md
index ea9d9c4..3d3edc5 100644
--- a/README.md
+++ b/README.md
@@ -155,6 +155,10 @@ Cross-validation is a technique to evaluate predictive models by partitioning th
 * Correlation is when the change in one item may result in the change in the another item, while covariance is when two items vary together (joint variability)
 * Covariance is nothing but a measure of correlation. On the contrary, correlation refers to the scaled form of covariance
 * Range: correlation is between -1 and +1, while covariance lies between negative infinity and infinity.
+* **Types of Correlation:**
+  * **Positive Correlation** – When two variables move in the same direction (r > 0). Example: Height and weight
+  * **Negative Correlation** – When two variables move in opposite directions (r < 0). Example: Speed and travel time
+  * **Zero Correlation** – No linear relationship between variables (r = 0)
 
 
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