As Always, happy to see your video....Will you have an extensive tutorial for regression diagnostic, such as normality, autocorrelation, multicollinearity and heteroskedasticity? Also, why they are important and can it be ignored? Should we faced problem with them how are we going to solve it?
@AlexanderSwan oh okay! i misunderstand it. but actually, what i meant with the option that jasp don't offer is the correlation analysis between nominal and scale data. In spss, they were able to make a correlation analysis table for all types of variables i have from my experiment. I don't get it, though, like how SPSS were able to make analysis with the nominal values.
As Always, happy to see your video....Will you have an extensive tutorial for regression diagnostic, such as normality, autocorrelation, multicollinearity and heteroskedasticity? Also, why they are important and can it be ignored? Should we faced problem with them how are we going to solve it?
I can do a video on that! I don't know exactly when, but I'll say sometime soon. Thanks for the questions and the suggestion!
@@AlexanderSwan You have wonderful explanation on your videos...
Will you release a video on multiple linear regression?
I could do that. Let me see about fitting it into my recording schedule!
@@AlexanderSwan thanks. I am finding your videos very useful :)
they don't have the option for bivariate correlation :< will it okay to just use regression?
Bivariate just means two variables, one x and one y. All correlations are bivariate, and a bivariate regression is the simplest form of regression.
@AlexanderSwan oh okay! i misunderstand it. but actually, what i meant with the option that jasp don't offer is the correlation analysis between nominal and scale data. In spss, they were able to make a correlation analysis table for all types of variables i have from my experiment. I don't get it, though, like how SPSS were able to make analysis with the nominal values.
Alexander the Great
Cheers :D