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 ...

Before you rush to buy the most advanced statistical software on the market, you will be happy to hear that you can perform regression analysis in Excel. Launch Excel To begin your multivariate ...

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.