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 ...

Beside the model, the other input into a regression analysis is some relevant sample data ... we can use the prediction equation (based on a model using the known variables as its explanatory ...

A solid coverage of the most important parts of the theory and application of regression models, generalised linear models and the analysis of variance. Analysis of variance models; factors, ...

Linear regression is a measurement that helps determine ... a country's GDP based on consumer spending (CS). Using the formula for a best fit line, this relationship can be approximated as ...

GENMOD uses maximum likelihood estimation to fit generalized linear models. This family includes models for categorical data such as logistic, probit, and complementary log-log regression for ... with ...