Which of the following best describes the term collinearity in a regression sett
ID: 3227247 • Letter: W
Question
Which of the following best describes the term collinearity in a regression setting?
It is the assumption of linearity needed in regression under the general linear model.
If correlation between two or more regressors is near +1 or 1.
It is the implication when the dependent variable and the independent variable are related each other.
It is a very conservative test to control for type I error rates for multiple comparisons.
a.It is the assumption of linearity needed in regression under the general linear model.
b.If correlation between two or more regressors is near +1 or 1.
c.It is the implication when the dependent variable and the independent variable are related each other.
d.It is a very conservative test to control for type I error rates for multiple comparisons.
Explanation / Answer
Multicollinearity if phenomenon when one of the independent variables are strongly correlated with each other.
b.
If correlation between two or more regressors is near +1 or 1.
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