The JMP "Model Fitting" platform can fit statistical models (regression, analysis of variance, etc.) to data and analyze the relationship and patterns between the target variable and explanatory variables. This seminar will focus on what can be done with this "Model Fitting" and explain basic operations, report interpretation, and multicollinearity.
*This is an on-demand version of the seminar with the same title held on December 5, 2024. The content has been narrowed down to basic operations and multicollinearity and made on-demand. There are some parts where the chapter numbers below do not correspond to the chapter numbers in the video. Please be aware of this in advance.
*The latest version used at the time of the seminar was JMP 18.1.1.
*You can download the on-demand version of the handout (jmp-fitmodel-ondemand.pdf).
table of contents
Introduction (3 minutes 32 seconds)
Chapter 1. Basic operation flow and report interpretation
1-1. Example of multiple regression analysis (standard least squares) Part 1 (17 minutes 7 seconds)
1-2. Example of multiple regression analysis (standard least squares) Part 2 (8 minutes 59 seconds)
1-3. Example of analysis of variance (standard least squares) (6 minutes 16 seconds)
1-4. Example of logistic regression (9 minutes 19 seconds)
Chapter 2. Multicollinearity and how to deal with it (10 minutes 42 seconds)
Introduction (3 minutes 32 seconds)
Chapter 1. Basic operation flow and report interpretation
1-1. Example of multiple regression analysis (standard least squares) Part 1 (17 minutes 7 seconds)
1-2. Example of multiple regression analysis (standard least squares) Part 2 (8 minutes 59 seconds)
1-3. Example of analysis of variance (standard least squares) (6 minutes 16 seconds)
1-4. Example of logistic regression (9 minutes 19 seconds)
Chapter 2. Multicollinearity and how to deal with it (10 minutes 42 seconds)
