Skip to content

Enhance README with types of correlation #6

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Open
Abhishek2003ij wants to merge 1 commit into
base: master
Choose a base branch
from
Open

Enhance README with types of correlation #6

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
4 changes: 4 additions & 0 deletions README.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -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)


[back to top](#data-science-question-answer)
Expand Down