#linear_regression__rectilinear_regression__rectilinearregression  the relation between variables when the regression equation is linear: e.g., y = ax + b
  supertype:  regression_toward_the_mean__regression__simple_regression  the 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)
  part:  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

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