Multicollinearity is the condition occurring when two or more of the independent variables in a regression equation are correlated.
Collinearity
1. distance 2. angle measures 3. parallelism 4. collinearity 5. midpoint
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Multi-collinearity occurs when two or more "explanatory" variables in a regression analysis are related to one another in such a way that the values of at least one of these variables can be very accurately determined by the others.
It means that a certain set of points are all on the same line.
Collinearity
Sun He has written: 'Some problems about collinearity'
1. distance 2. angle measures 3. parallelism 4. collinearity 5. midpoint
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