Multiple linear regression
Multiple linear regression attempts to model the relationship between two or more explanatory
variables and a response variable by fitting a linear equation to observed data. If there are p
predictors (or explanatory variabl
Model Checking and Diagnosis
Major assumptions of linear regression include
1. The relationship between the outcomes and the predictors is (approximately) linear.
2. The error term has zero mean.
3. The error term has constant variance.
4. The errors ar
Galton was a pioneer in the application of statistical methods. In studying data on relative sizes
of parents and their offspring in various species of plants and animals, he observed the following
phenomenon: a larger-tha
IE5202: Applied Forecasting Methods
August 4, 2016
Dr Chen Nan, E1-05-20
Phone: 65167914, Email: firstname.lastname@example.org
Forecasting, Time Series, and Regression, by Bo