Stat > Regression > Poisson Regression
> Predict
Use a Poisson regression model to:
· predict
the value of the response variable (fitted values)
for the combinations of variable settings that you request
· create
a confidence interval
for the mean response at these combinations
· store
the prediction information in the worksheet
See Stored Model
Overview for a discussion about how to use stored models.
Dialog box items
Response:
Choose a response variable from the drop-down list.
In the second drop-down list, choose whether you will enter variable
settings or enter worksheet columns that contain the variable settings.
Enter individual values:
Choose to enter variable
settings.
Enter columns of values: Choose to enter columns
from the worksheet.
Variables table
This table contains a column for each variable in the model. Depending
on your choice in the second drop-down list, you enter either values or
columns.
· Values
- Enter at least one value for each variable. The table columns must be
the same length. You must enter numeric or date/time values for continuous
variables. For categorical variables, choose a setting from the drop-down.
· Columns
- Enter one column for each variable. Each column must contain the values
for one variable. All columns must be the same length. For a continuous
variable, the column must contain numeric or date/time data. For a categorical
variable, the column must contain values that match the values you used
to fit the model.
<Options>
<Results>
<Storage>
<View Model>
Predict