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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Three points that are all on a line are called "collinear points." These points lie on the same straight line, which means that if you were to draw a line through them, all three would be included on that line. Collinearity is a fundamental concept in geometry, often used to describe the relationship between points in a coordinate system.
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.
Sun He has written: 'Some problems about collinearity'
Collinearity
1. distance 2. angle measures 3. parallelism 4. collinearity 5. midpoint
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