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Multiple Regression (Graphical)

Multiple Regression:

Multiple (linear) regression is a regression technique aimed at finding a linear relationship between the dependent variable and multiple independent variables. (See regression analysis.)

The multiple regression model is as follows:

Math image

where Yi are values of the dependent variable, X1i, X2i, ... , Xmi are values of m independent variables, Ei - random errors, N > m+1 is the sample size.

Multiple regression finds the set of parameters B0, B1, ... , Bmi that provides the best fit between the model and the given data (which are a set of N vectors - {(Yi, X1i, ... , Xmi), i=1,...,N}).

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Courses Using This Term

Regression Analysis
This course will teach you how multiple linear regression models are derived, the use software to implement them, what assumptions underlie the models, how to test whether your data meet those assumptions and what can be done when those assumptions are not met, and develop strategies for building and understanding useful models.
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