# Meta-Analysis Regression: Save

The Save dialog provides settings for saving the estimated statistics to the active data set for meta-analysis regression.

- Individual Studies
- Provides options for saving the estimated effect size.
- Predicted values
- Predicts and saves the fitted values.
- Standard error of predicted values
- Predicts and saves the standard error of fitted values.
- Confidence interval lower bound
- Saves the estimated confidence interval lower limit of the fitted values.
- Confidence interval upper bound
- Saves the estimated confidence interval upper limit of the fitted values.
- Residuals
- Predicts and saves the residuals.
- Standard error of residuals
- Predicts and saves the standard error of the residuals.
- Leverages
- Predicts and saves the leverages.

- Cumulative Statistics
- Provides options for saving linear predictions.Note: The cumulative statistics settings are ignored when Fixed-effects is selected as the Model setting.
- Fixed linear predictions
- Predicts and saves the linear prediction.
- Standard error of fixed linear predictions
- Predicts and saves the standard error of the linear prediction.
- Best linear unbiased predictions
- Predicts and saves the best linear unbiased prediction of the random effects.
- Standard error of BLUPs
- Predicts and saves the standard error of the best linear unbiased prediction of the random effects.

## Defining Meta-Analysis Regression save settings

- From the menus choose:
- In the Meta-Analysis Regression dialog, click Save.
- Select and define the appropriate save settings.
- Click Continue.