Causality, Correlation and Regression

This video will explain you the commonalities and differences between the correlation, regression and the causality.

Causality means that there is a clear cause-effect relationship between two variables.
A common mistake in the interpretation of statistics is that when a correlation exists a causality is inferred.

There are two prerequisites for causality:
First, there is a significant relationship, that is, a Significant Correlation.

The second condition can be satisfied in two ways.
First, it is satisfied if there is a temporal ordering of the variables. So variable A was collected temporally before variable B.
Furthermore, the second condition can be fulfilled, if there is a theoretically founded and plausible theory in which direction the causal relationship goes.

If neither of the two is true, i.e. there is neither a temporal order nor can the causality be justified by a well-founded theory, then we can only speak of a relationship, but never of causality, i.e. it cannot be said that variable A influences variable B or vice versa.

More Information about Causality:

Regression Analysis: An introduction to Linear and Logistic Regression
Simple and Multiple Linear Regression
Assumptions of Linear Regression
Logistic Regression: An Introduction
Dummy Variables in Multiple Regression
Regression with categorical independent variables
Multicollinearity
Causality, Correlation and Regression

[dreamchaser]

You explain an often confusing concept very clearly in simple language which means you know exactly what you are talking about. And this is a common theme to all of your lectures. Thank you and with high respect.

[mpro]

this is the best explanation differentiating btwn correlation and regression I have yet found on the tube. thank you immensely.

[errantvice]

This makes Elden Ring make soooo much more sense, thanks

[andreashofmann]

A video about autocorrelation would be very cool. Great video and explanation!

[hhy]

I am from Vietnam and in my country, The word causality is the same as regression and I have a lot of misunderstands but with this video with English, i have no misunderstands - sorry my English has no practicing

[mcchlizz]

Is instrumental variable as one of the method to deal with confounding variables to see the causality effect?

[federicogarland]

thank you, your videos are very helpful!

[putimaulida]

I'm still confused by the conclusions from some of the examples you made. Please enlighten me. So,
1. is the first example (age at which a child speaks her/his first sentences and later school success) IS a correlation? but why at the end of the video did you checklist YES on the causality requirement?
2. is the second example (intelligence and high school grade) IS a correlation?, and
3. is the last or third example (flies and body temperature) IS a causality?

[mazenhany]

good video as usual .
I want to know more about causality and
confounding

[xco]

Base on your requirement, if a weather forecast for tomorrow is highly correlated with the result of tomorrow and take before the result that means the forecast is the cause of true weather ?

[captainseries]

Remaining lecture of correction required in english language if possible thanks

[gezahegngashu]

The presentation is nice but I need the ppt