# Bayesian Linear Regression Models: Predict

You can specify the regressors to generate predictive distributions.

- Regressors for Bayesian Prediction
- The table lists all available regressors. The Regressors column is
automatically populated by certain Factor and Covariate variables. Specify the observed vectors with
the values for the regressors. Each regressor can be assigned one value or string and are allowed to
predict only one case. For factors, both values and strings are allowed.
Either all or none of the regressor values must be specified in order to run the prediction (by clicking Run Analysis).

When a Factor or Covariate variable is removed, the corresponding regressor row is removed from the table.

For covariates, only numerical values can be specified. For factors, both numerical values and strings are allowed.

Note: Click Reset to clear the defined values.