Man, this is one of the most beautiful videos about statistics I ever saw in my life, I have been studying and working with statistics for years. Thank you 😊😊
Great video and explanation, unfortunately the references to "causal" relationships is misleading at the least. Just because two variables appear to be related and a regression model can be derived, does not mean either one variable "causes" the other.
Working a recommendation system and deciding on the model is so stress. Linear regression could be my try after gaining the understanding. Thank youuuuuu
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Man, this is one of the most beautiful videos about statistics I ever saw in my life, I have been studying and working with statistics for years.
Thank you 😊😊
This is a great video if you are revising the Linear Regression concept. I wish it were in depth.
Great video and explanation, unfortunately the references to "causal" relationships is misleading at the least. Just because two variables appear to be related and a regression model can be derived, does not mean either one variable "causes" the other.
Working a recommendation system and deciding on the model is so stress.
Linear regression could be my try after gaining the understanding.
Thank youuuuuu
Wonderful explanation. Thank you
So good and well explained
that was dope line
OMG. Incredible explanation
We take the estimates to cancel out the Error term right
great video
Well done
Exceptional video
Really helpful thank you
Awesome!
youre a genius thank you
Why error term is part of regression model??
Error in this case is unknown variables because of which actual value comes out bit more or less than predicted value.
damn good!
We're happy to hear you found this video helpful!
Waoo
If this was my presentation what will be the title?