Select the output to be generated initially in a Validation of Predictions analysis – the same information can also be displayed after the analysis, using the Further Output dialog.

## Model Display

Summary |
Summary of the four models fitted, showing the parameter estimates and their standard errors, the residual sum of squares, degrees of freedom and mean squares. |

Tests |
Tests to assess whether the constant differs from zero, and the slope differs from one. |

Null model |
Display the null model with the slope set to 1 and constant/intercept set to 0 |

Slope = 1 |
Display the model with the slope set to 1 and constant/intercept estimated from the data |

Zero constant |
Display the model with the constant/intercept set to 0 and slope estimated from the data |

Full model |
Display the full model with the slope and constant/intercept estimated from the data |

The components displayed for each model selected above are controlled by the entries in the **Display** group box below.

## Display

Model |
Details of the model that is fitted. |

Summary |
Summary analysis-of-variance. |

F-probability |
F probabilities for variance ratios. |

Correlations |
Correlations between the parameter estimates |

Fitted values |
Table containing the values of the response variate, the fitted values and residuals from the regression. |

Estimates |
Estimates of the parameters in the model |

t-probability |
t probabilities for the parameter estimates the fitted values, standardized residuals and leverages. |

Confidence intervals |
Confidence intervals for the parameter estimates. The confidence limit can specified as a percentage using the Confidence limit for estimates (%) field. |

Accumulated |
Analysis of variance table containing a line for each change in the fitted model. |

## Graphics

Lets you generate default plots when you the analysis. **Plot residuals** will produce diagnostic plots of the residuals for each selected model. **Plot fitted model** to generates graphs of the fitted model for each selected model.

## See also

- Validation of Predictions menu
- Validation of Predictions Save Options
- Validation of Predictions Further Output
- Linear Regression menu
- Quantile Regression menu
- Functional Linear Regression menu
- RVALIDATE procedure in command mode