Chapter Contents |
Previous |
Next |

The ORTHOREG Procedure |

PROC ORTHOREG displays the parameter estimates and associated statistics. These include the following:

- overall model analysis of variance, including the error mean
square, which is an estimate of (the variance of the
true errors), and the overall
*F*test for a model effect - root mean squared error, which is an estimate of the standard deviation of the true errors. It is calculated as the square root of the mean squared error.
- R-square, which is a measure between 0 and 1 that indicates the portion of the total variation that is attributed to the fit
- estimates for the parameters in the linear model

The table of parameter estimates consists of

- the terms used as regressors, including the Intercept, identifying the intercept parameter
- degrees of freedom (DF) for the variable. There is one degree of freedom for each parameter being estimated unless the model is not full rank.
- estimated linear coefficients
- estimates of the standard errors of the parameter estimates
- the critical
*t*values for testing whether the parameters are zero. This is computed as the parameter estimate divided by its standard error. - the two-sided
*p*-value for the*t*-test, which is the probability that a*t*-statistic would obtain a greater absolute value than that observed given that the true parameter is zero

Chapter Contents |
Previous |
Next |
Top |

Copyright © 1999 by SAS Institute Inc., Cary, NC, USA. All rights reserved.