Thanks for the video very helpful. Do you have a video on multiple regression using the output estimate, model fit, collinearity diagnostics and plots.
just use variance stability transformation by transform the response variable because heterodasticity means the response are not from normal population
Its really very helpful thanks Dr
Thanks Dr. Grande. That was incredible !
Thanks for the video very helpful. Do you have a video on multiple regression using the output estimate, model fit, collinearity diagnostics and plots.
how can I test hetreoscedasticity when the indpendent (predictor) variables are yes/no (1/0 dummy) variables? I then get two columns with points.
do i do the same for multiple indep variables? i.e. just add more variables into the 'indep variable' box?
What in such cases
Thank you very much.......
So if I do violate the assumption of homoscedasticity... what do I do?
just use variance stability transformation by transform the response variable because heterodasticity means the response are not from normal population
if there is hetroscedasticity exist in data then what will we do?
Great videos!