JMP Learning Library
- CorrelationVisualize the relationship between two continuous variables and quantify the linear association via. pearson's correlation coefficient.
- Nonparametric CorrelationsProduce nonparametric measures of association between two continuous variables (Spearman’s Rho, Kendall’s Tau, and Hoeffding’s D).
- Simple Linear RegressionModel the bivariate relationship between a continuous response variable and a continuous explanatory variable.
- Multiple Linear RegressionModel the relationship between a continuous response variable and two or more continuous or categorical explanatory variables.
- Simple Logistic RegressionModel the relationship between a categorical response variable and a continuous explanatory variable.
- Multiple Logistic RegressionModel the relationship between a categorial response variable and two or more continuous or categorical explanatory variables.
- Stepwise RegressionPerform automated variable selection in multiple linear or logistic regression models.
- Fitting Nonlinear CurvesBuild non-linear models describing the relationship between an explanatory variable and a response variable.