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Results tagged with multicollinearity
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user 379020
Situation when there is strong linear relationship among predictor variables, so that their correlation matrix becomes (almost) singular. This "ill condition" makes it hard to determine the unique role each of the predictors is playing: estimation problems arise and standard errors are increased. Bivariately very high correlated predictors are one example of multicollinearity.
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Choosing Predictors in Multiple Regression
I am planning regression analyses and present this (hypothetical) scenario to communicate my query.
I am interested in the effect of 2 different measures ('IQ' and 'SPQ') on dependent variable 'perfor …
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