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Singularity

Singularity:

In regression analysis , singularity is the extreme form of multicollinearity - when a perfect linear relationship exists between variables or, in other terms, when the correlation coefficient is equal to 1.0 or -1.0.

Such absolute multicollinearity could arise when independent variable are linearly related in their definition. A simple example: two variables "height in centimeters" and "height in inches" are included in the regression model.

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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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