Thank you for the video! I find that most of my time in learning statistics was spent on finding out the actual meaning of terms with misleading names! Really glad to have you explain this.
How it would work if instead of using link function log we use sqrt? In this case, we would have sqrt(t) multiplying all the linear predictor? i.e: sqrt(Y) = sqrt(t)*(b0 + b1*X1 + ... + bk*Xk)?
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Thank you for the video! I find that most of my time in learning statistics was spent on finding out the actual meaning of terms with misleading names! Really glad to have you explain this.
Best explanation on the internet.
Thank you for a very clear and easy-to-understand explanation!
Good explanation - thank you!
Very good explanation. Thank you!
Thank you for your perfect explanation! I finally understand the Poisson Regression :)
How it would work if instead of using link function log we use sqrt? In this case, we would have sqrt(t) multiplying all the linear predictor? i.e: sqrt(Y) = sqrt(t)*(b0 + b1*X1 + ... + bk*Xk)?
sorry pal, but I couldn´t get which coefficient is forced to be = 1? Bo is forced to be 1? or Is the Ln(t) argument = 1?
I need a confirmation of this as well