I just wanted to say that you are such a great teacher and explainer. I hope that you get millions of subscribers and views cause your videos are lifesavers. And again thanks for uploading and hope you have a nice day.
@@Stats4Everyone You really deserve a million subscribers, your explanations are clear, concise and your voice is very pleasant and clear which is important for non-native English speakers like I am :)
Var(X) is different from Var(xi) where X is a list of xi and xi is a constant, and var(constant) = 0. Both X and xi are non-random if they’re observations, not measure, which is the point of this video.
I just wanted to say that you are such a great teacher and explainer. I hope that you get millions of subscribers and views cause your videos are lifesavers. And again thanks for uploading and hope you have a nice day.
Thank you so much for your encouragement! I am so happy that you have found my videos to be helpful! 🙏
@@Stats4Everyone It's my pleasure and i truly hope that in the near future, you will have tons of more views and subscribers for your awesome content.
@@Stats4Everyone You really deserve a million subscribers, your explanations are clear, concise and your voice is very pleasant and clear which is important for non-native English speakers like I am :)
Thank you very much that was very helpfull, this assumption wasn't really explained in my graduate econ course :)
I like the way you explained, lovely n well informed. Please keep going make these kind of statistical video...
I'm afraid I'm missing something. B_1 = Cov(X,Y)/Var(X). So if Var(x) = 0 the Beta is not defined, right?
Var(X) is different from Var(xi) where X is a list of xi and xi is a constant, and var(constant) = 0. Both X and xi are non-random if they’re observations, not measure, which is the point of this video.