Specific Platform
|
Modeling Types
|
Description
|
Reference
|
Bivariate
|
Continuous Y by continuous X
|
Analyzes the relationship between two continuous variables
|
See “Bivariate Analysis”.
|
Oneway
|
Continuous Y by nominal or ordinal X
|
Analyzes how the distribution of a continuous Y variable differs across groups defined by a categorical X variable
|
See “Oneway Analysis”.
|
Logistic
|
Nominal or ordinal Y by continuous X
|
Fits the probabilities for response categories to a continuous X predictor
|
See “Logistic Analysis”.
|
Contingency
|
Nominal or ordinal Y by nominal or ordinal X
|
Analyzes the distribution of a categorical response variable Y as conditioned by the values of a categorical X factor
|
Bivariate, Oneway, Logistic, Contingency
|
This grid shows which analysis results from the different combinations of data types. Once you have assigned your columns, the applicable platform appears as a label above the grid.
|
Block
|
(Optional, for Oneway and Contingency only):
• For the Oneway platform, identifies a second factor, which forms a two-way analysis without interaction. The data should be balanced and have equal counts in each block by group cell. If you specify a Block variable, the data should be balanced and have equal counts in each block by group cell.
• For the Contingency platform, identifies a second factor and performs a Cochran-Mantel-Haenszel test.
|
Platform or Analysis
|
Y Button
|
X Button
|
Fit Y by X
|
Y, Response
|
X, Factor
|
Bivariate
|
Y, Response
|
X, Regressor
|
Oneway
|
Y, Response
|
X, Grouping
|
Logistic
|
Y, Categorical Response
|
X, Continuous Regressor
|
Contingency
|
Y, Response Category
|
X, Grouping Category
|
3.142.199.184