(Mastering JMP) Specifying and Fitting Models
JMP offers many linear modeling options. See the available Fit Model capabilities and learn when and how to use the ones that are most useful for continuous, categorical and/or complex data sets where there may be more predictors than observations. 00:00 Understanding the Demonstration Flow 01:58 Getting a Brief Refresher on Regression 03:38 Using Standard Least Squares (SLS) and Understanding SLS Assumptions 18:04 Testing Responses for Normality Interactively and Using Box-Cox Transformation See the full video, Q&A and JMP Resources:https://community.jmp.com/t5/Masterin...
▶︎
(Mastering JMP) Developer Tutorial: New Python Integration and Scripting Capabilities in JMP 18
▶︎
Designing and Analyzing Experiments, Pt. 1: An Introduction
▶︎
Fitting Curves to Non-Linear Data in JMP
▶︎
(Mastering JMP) Identifying Important Variables in Your Data
▶︎
JMP on Multivariate Modelling
▶︎
Building Predictive Models in JMP March 2020
▶︎
Linear Regression, Clearly Explained!!!
▶︎
Multivariate Analysis and Advanced Visualization in JMP (12/2017)
▶︎
(Mastering JMP) Analyzing the Potency and Stability of Bioassays
▶︎
Power BI DAX Tutorial for Beginners (2025): Master DAX in ONE Course!
▶︎
JMP Academic Series: Research Methods (Clustering, PCA, EFA, CFA, Path Analysis, SEM)
▶︎
Machine Learning Fundamentals: Bias and Variance
▶︎
(Mastering JMP) Using Prediction Profiling to Maximize Model Proficiency - Part 1
▶︎
JMP for Teaching Data Analytics
▶︎
The French Do Not Care About Work
▶︎
Basic Predictive Modeling Nov 7 2017
▶︎
How to use the Desirability Functions in JMP
▶︎
Two Way ANOVA in JMP
▶︎