Gri: `regress' command

Gri Commands 1: Introduction 2: Simple example 3: Fancy example 4: Running Gri 5: Programming Gri 6: General Issues 7: X-Y Plots 8: Contour Plots 9: Image Plots 10: Examples 11: Handling Data 12: Gri Commands 13: Gri Extras 14: Evolution of Gri 15: Installing Gri 16: Gri Bugs 17: System Tools 18: Acknowledgments 19: License 20: Newsgroup 21: Concept Index | ## 12.34: The ``regress`' Command
    `regress {y vs x [linear]}|{x vs y [linear]}'
Perform linear regression of ``y`' as a function of ``x`' or ``x`' as a function of ``y`'. ``regress y vs x`' Linear regression of y vs x. Several quantities are reported and also saved into builtin variables. The intercept is defined as ``..coeff0..`', it's 95 percent confidence limit is defined as ``..coeff0_sig..`'. Thus the confidence range is ``..coeff0..-..coeff0_sig..`' to ``..coeff0..+..coeff0_sig..`'. Similarly the slope and confidence limit are stored in ``..coeff1..`' and ``..coeff1_sig..`' The squared correlation coefficient is stored in ``..R2..`'. Historical note prior to version 2.1.15, a different meaning was attached to ``..coeff0_sig..`' and ``..coeff1_sig..`'; they used be defined as standard errors, without having been multiplied by the appropriate student-t coefficient. ``regress x vs y`' Linear regression of x vs y; for notation see above. ``regress y vs x linear`' Linear regression of y vs x; for notation see above. ``regress x vs y linear`' Linear regression of x vs y; for notation see above.