## Bias

The difference between an estimator’s expected value and the true value of the parameter being estimated. In ordinary least squares regression, the regression equation is “unbiased” because the sum of the individual biases equals zero.

M N O P Q R S T U V W Z

The difference between an estimator’s expected value and the true value of the parameter being estimated. In ordinary least squares regression, the regression equation is “unbiased” because the sum of the individual biases equals zero.