This is such an amazing series! I am totally enjoying this series. I am implementing this in my data. I wanted to ask what if data is not normally distributed as your data shown in histogram. It might be right or left skewed. What should be done in that case?
Glad to be of help! Non-normality can be solved with a transform (figuring out which variable it might be) - I don't like transforms personally, as it makes the coefficients hard to interpret, but it is an option.
Absolutely the best!
U r doing a Great Great job!! Thanks!! Greetings from Poland :)
Thanks! Glad to be of help.
Great tutorial! Was the outlier removal based on any reference? If so, could you provide that?
Tabachnick and Fidell book as well as Cohen Cohen Aiken and West book.
This is such an amazing series! I am totally enjoying this series. I am implementing this in my data. I wanted to ask what if data is not normally distributed as your data shown in histogram. It might be right or left skewed. What should be done in that case?
Glad to be of help! Non-normality can be solved with a transform (figuring out which variable it might be) - I don't like transforms personally, as it makes the coefficients hard to interpret, but it is an option.