Enter your data for Fit Model and Discover Key Predictors with TreeNet^® Regression

Data entry is the same for the following analyses:

Predictive Analytics Module > TreeNet® Regression > Fit Model

Predictive Analytics Module > TreeNet® Regression > Discover Key Predictors

Note

This command is available with the Predictive Analytics Module. Click here for more information about how to activate the module.

Complete the following steps to specify the columns of data that you want to analyze.

In Response, enter the column that contains the continuous response. Values must be numeric.
In Continuous predictors, enter the continuous variables that may explain or predict changes in the response. Continuous predictors must use numeric values.
In Categorical predictors, enter the categorical variables that may explain or predict changes in the response. Categorical predictors may use text or numeric values.

In this worksheet, Strength is the response and contains the strength measurements of a sample of synthetic fibers. Temperature is a continuous predictor. Machine, Formula, and Blend are categorical predictors.

The predictors may explain differences in fiber strength. The first row of the worksheet shows that the first sample of fiber has a strength measurement of 40, has a temperature of 136, and was produced on Machine A with Formula 1 and a blend.

C1	C2	C3-T	C4	C5-T
Strength	Temperature	Machine	Formula	Blend
40	136	A	1	Yes
53	142	A	2	No
32	119	B	3	No
36	127	A	2	No
42	151	B	1	Yes
45	121	B	3	No

Enter your data for Fit Model and Discover Key Predictors with TreeNet® Regression

Note

Enter your data for Fit Model and Discover Key Predictors with TreeNet^® Regression