Welcome to the JMP User Community!

Latest Discussions

• Factor not statistical significant in Effect Tests although there is statistical significance difference among factor levels from Tukey Multiple Comparison

  Hi, I am using Generalized Regression model to perform analysis in my data, with Binomial as response distribution (because my response values - ErrorAT - are either 0 or 1). I am using Lasso as the estimation method. I opted to used generalized regression due to the large correlation among some factors.  I have a quick question related to this model: one of the main factors (seedAT) was removed f...

  AnnaPaula

  Discussions |

  Apr 17, 2021 1:41 PM

  4060 views | 6 replies

• help:multiple regression

  hi, does anyone know how to compare two multiple regression?i have two years data, so each year I will make a multiple regression using the same independent and dependent variable just different 2 years. how I can compare these two 

  tang1111

  Discussions |

  Apr 16, 2021 3:33 PM

  1973 views | 3 replies

• Significant Lack of Fit

  Hi All, I appreciate your time and response. I have built a model using main effects, interactions, and sometimes 2nd orders. I have used Standard Least Squares and 60% of the data. About 20% is used for validation and 20% for test sets.R2, adj R2, and those for validation and test sets are all about 98-99%. VIFs are all between 1 to 2.The only issue is I have a significant lack of fit.What can I ...

  Amir_H

  Discussions |

  Apr 13, 2021 1:38 PM

  4112 views | 4 replies

• deployment model

  Hito everybody.In attached 2 jmp files. The one named Training-validation-test was used to build a RF model with the following results.The file contains one numeric response and 20 different predictors with one of them categorical, The predictors are sensors values.     As you can see the Bias is very good while the variance is slightly high (92-69=23%).Then a new database with examples never seen...

  FR60

  Discussions |

  Apr 11, 2021 6:11 AM

  12220 views | 13 replies

• Why am I getting no K-fold validation for my linear regression? It only shows "."

  Doing a linear regression, and both in stepwise and in the final model output it only shows "." under K-fold cross-validation? Why? I recall seeing a K-fold # for my previous model, though I don't remember the exact section or screen. 

  chriscic42

  Discussions |

  Apr 5, 2021 5:36 AM

  1479 views | 1 replies