The linear regression equation is perhaps one of the most recognizable in statistics. It can be used to represent any straight line drawn on a plot: Where ŷ (read as “y-hat”) is the expected values of ...

Logistic regression is preferrable over a simpler statistical test such as chi-squared test or Fisher’s exact test as it can incorporate more than one explanatory variable and deals with possible ...

Regression analysis is a common statistical method used in finance and investing. Linear regression (also called simple regression) is one of the most common techniques of regression analysis; in ...

The primary result of a regression analysis is a set of estimates of the regression coefficients α, β 1,..., β k. These estimates are made by finding values for the coefficients that make the average ...

Multiple regression models with survey data. Regression becomes a more useful tool when researchers want to look at multiple factors simultaneously. If we want to know whether the racial divide ...

Residual standard deviation is a statistical term used to describe the difference in standard deviations of observed values vs. predicted values as shown by points in a regression analysis.