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nounthe relation between selected values of x and observed values of y (from which the most probable value of y can be predicted for any value of x)type of:part of:
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nounreturning to a former state
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type of: -
nounan abnormal state in which development has stopped prematurelytype of:
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noun(psychiatry) a defense mechanism in which you flee from reality by assuming a more infantile state
Definition that contains regression
- multicollinearity a case of multiple regression in which the predictor variables are themselves highly correlated
- regression coefficient when the regression line is linear (y = ax + b) the regression coefficient is the constant (a) that represents the rate of change of one variable (y) as a function of changes in the other (x); it is the slope of the regression line
- predictor variable a variable that can be used to predict the value of another variable (as in statistical regression)
- regression curve a smooth curve fitted to the set of paired data in regression analysis; for linear regression the curve is a straight line
- curvilinear regression the relation between variables when the regression equation is nonlinear (quadratic or higher order)
- rectilinear regression the relation between variables when the regression equation is linear: e.g., y = ax + b
- regression line a smooth curve fitted to the set of paired data in regression analysis; for linear regression the curve is a straight line
- linear regression the relation between variables when the regression equation is linear: e.g., y = ax + b
- regression analysis the use of regression to make quantitative predictions of one variable from the values of another