Thank you, I couldn't remember how to get the plot for checking the last 2 conditions for regression and with 15 minutes until due date you saved my grade from a hit after I had tried JMP's site and multiple other videos.
Nice video. Generally you need to split your sample to train set and test set, build the model based on the train set and check the prediction with the test data, calculating accuracy and precision.
Thank you but how do we take the regression formula and graph for this multiple regression? please add more videos through e-mail amarebitew8@gmail.com
Thanks - useful to see a video on how to do this. I would find it useful to discuss how to avoid over-fitting the model. e.g., if you have 200 rows and 100 different categorical values for each model variable, when do you need a training set and test set and how do you use Jmp to split those out?
Good video. Nice with a lesson that goes straight to the point for once instead of wasting my time (no offence, maybe some people need/enjoy long and slow videos).
The math behind the RSquare will cause it to increase as covariates are added to the regression model -- even if the coefficient for that predictor is not significant. So, the RSquare will be maximized when all available covariates are included in the model, even if most of them are only related to the outcome by chance. Note that the "RSquare Adj" adjusts for the number of covariates in the multiple regression model and is a more accurate presentation of the incremental increase of information.
Great video... Thank you. However, I find one aspect of your justification VERY confusing. The RSquare value typically represents a "goodness of fit" (closer to 1, better the fit). Yet in your method of removing non-significant parameters reduces the RSquare value -representing a lesser quality of fit. Is the intent to remove non-significant parameters, or to get a better fit? Thanks again.
Hello! If I have more then 3 treatment groups, 1 is control and I want to compare all the tratments to control group, what test should I use in jmp to compare the groups? So fa what I did is a chi square test 3 times, comapring the treatmets separately to the control group each time, and used a bonfferoni correction. But some how I would think there is a more elegant way of doing this :) I would appreciate your comment on this. Thank you in advance! Barbara
Quick question. When you want to run a Logistic Regression in JMP and want to test quantify Effect Modification and Interaction both additive and multiplicative do you run an F-test ANOVA between the "short" additive and "Long" multiplicative to determine the validity of the multiplicative variable?
Thank you so much for this. Am writing my thesis, statistics is so hard and this vid is the only thing between me and pulling out every last strand of my hair! :)
I hope that you can do more videos like this! JMP should pay you to have this included in their program because their tutorials suck! Thank you so much!
