Regression

1. Linear relationship between the independant variables and the dependant variable; if this is not the case, then one of the following steps is necessary:
   • A polynomial term needs to be applied;
   • The variable should be transformed (logarithm, square root, arcsine square root etc.);
   • The suitability of a regression approach should be reconsidered.
2. Homoscedasticity of the residuals
3. Independance of the observations
4. The independant variables must either be controlled or measured with great precision compared to the dependant variable; if this is not the case, then major axis regression should be applied

Re*gres"sion (r?*gr?sh"?n), n. [L. regressio: cf. F. r'egression.]

The act of passing back or returning; retrogression; retrogradation.

Sir T. Browne.

Edge of regression (of a surface) Geom., the line along which a surface turns back upon itself; -- called also a cuspidal edge. -- Regression point Geom., a cusp.

© Webster 1913.