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Chapters: 1: Introduction 2: Simple example 3: Invocation 4: Finer Control 5: X-Y Plots 6: Contour Plots 7: Image Plots 8: Examples 9: Gri Commands 10: Programming 11: Environment 12: Emacs Mode 13: History 14: Installation 15: Gri Bugs 16: Test Suite 17: Gri in Press 18: Acknowledgments 19: License Indices: Concepts Commands Variables |
9.3.34: `
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`regress {y vs x [linear]}|{x vs y [linear]}'
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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..', its 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.
