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

Fit-Statistics

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 value (equal to to square root of ).
• 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.
• Adj. R-Square
  Adjusted 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.
  For more information, see Statistics
• ANOVA
  Output the analysis of variance table.
  For more information, see: ANOVA Table
• Covariance matrix
  Output the covariance matrix.
  For more information, see: Covariance and Correlation Matrix
• Correlation matrix
  Output the correlation matrix.
  For more information, see: Covariance and 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

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  Keywords:Fit Statistics, Linear Curve Fit