Glossary

A regression equation	is the equation for a straight line used to make predictions for variables with a linear relationship.



A regression line	is a diagonal line plotted from a regression equation. The regression line is used to make predictions. As there are two regression equations for predicting each pair of correlated variables, there are also two regression lines.



Homoscedasticity	is the assumption that the standard deviation of the Y values is the same for every value of X.



Regression	is a term statisticians use to indicate a backward shift toward the mean when predicting an unknown value from a known value and when the two values are correlated.



Regression coefficients	are the computed values of a and b in a regression equation.



Standard error of the estimate	is the standard deviation of the actual values of a variable from the predicted values.

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