3.107 FAQ-645 What kind of Fit Statistics can be obtained in linear fit?

Last Update: 9/10/2019

Linear Regression perform statistics for fitting results, the main statistics values were introduced below:

• Number of Points
Total number of fitting points.
• Degrees of Freedom
Model degrees of freedom.
• Reduced Chi-Sqr
The Reduced Chi-square value (equal to the residual sum of square divided by the degrees of freedom).
• R Value
The $R\,\!$ value (equal to to square root of $R^2\,\!$).
• Residual Sum of Squares
Residual sum of squares (RSS); or sum of square error.
• Pearson's r
Pearson correlation coefficient.
• R-Square (COD)
Coefficient of determination.
• Root-MSE (SD)
Residual standard deviation; or square root of mean square error.
• Norm of Residuals
Norm of residuals; equals to square root of RSS.
• ANOVA
Output the analysis of variance table.
• Covariance matrix
Output the covariance matrix.
• Correlation matrix
Output the correlation matrix.
• Outliers
Output the outliers list.  To further learn about how to interprete these statistics after fit, please refer to the document：Interpreting Regression Results

Keywords:Fit Statistics, Linear Curve Fit