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Glossary   >   R   >   "Regression" Definition            Regression Usually linear regression is used to explain and/or predict. The general form is Y = a + bX + u, where Y is the variable that we are trying to predict; X is the variable that we are using to predict Y, a is the intercept; b is the slope and u is the regression residual. The a and b are chosen in a way to minimize the squared sum of the residuals. The ability to fit or explain is measured by the R-squared. Linear regression is used to explain and/or predict. The general form is: Glossary    Dictionary Search (powered by Google) WWW ITLOCUS.COM GLOSSARY.ITLOCUS.COM Translate a web page (powered by Google)      to German Spanish French Italian Portuguese Japanese Korean Chinese

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Regression - Usually linear regression is used to explain and/or predict. The general form is Y = a + bX + u, where Y is the variable that we are trying to predict; X is the variable that we are using to predict Y, a is the intercept; b is the slope and u is the regression residual. The a and b are chosen in a way to minimize the squared sum of the residuals. The ability to fit or explain is measured by the R-squared.

Linear regression is used to explain and/or predict. The general form is: