Thanks for taking a look. Genreg is modeling 6 predictors to estimate Total_time. Under Effect tests (see screenshot below), var1 is highly significant but 4 levels removed; count1 is fine because it is a continuous variable. Var2, Var3, Var4 have several levels removed. The screenshot of Prediction formula for Total_time shows that about 90% of calculated value is null. I understand that I will have to reconfigure the categorical variables. Can you help explain how to handle "levels removed"? Is this why the model applies to only 10% of the data?
![Total_time1.png Total_time1.png](https://community.jmp.com/t5/image/serverpage/image-id/9397i3B8D8B59E37607FC/image-size/large?v=v2&px=999)
![Total_time2.png Total_time2.png](https://community.jmp.com/t5/image/serverpage/image-id/9398i0F2262335EC92866/image-size/large?v=v2&px=999)