MULTICOLLINEARITY NEW AND DETAILED EXPLANATION WITH FULL INFORMATION. EXAM PREPARATION.
24.3 هزار بار بازدید -
5 سال پیش
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Economics # New Information #
Economics # New Information # IES # Exams # CLRM # Assumptions # Explained with Details # OLS # Numericals # Solved in Details.
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In statistics, multicollinearity (also collinearity) is a phenomenon in which one predictor variable in a multiple regression model can be linearly predicted from the others with a substantial degree of accuracy. In this situation the coefficient estimates of the multiple regression may change erratically in response to small changes in the model or the data. Multicollinearity does not reduce the predictive power or reliability of the model as a whole, at least within the sample data set; it only affects calculations regarding individual predictors. That is, a multivariate regression model with collinear predictors can indicate how well the entire bundle of predictors predicts the outcome variable, but it may not give valid results about any individual predictor, or about which predictors are redundant with respect to others.
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FOR COMPLETE LECTURES / STUDY MATERIALS /NOTES /GUIDANCE/
PAST YEAR SOLVED +SAMPLE PAPERS/TRICKS/MCQ/SHORT CUT/VIDEO LECTURES/LIVE + ONLINE CLASSES.
In statistics, multicollinearity (also collinearity) is a phenomenon in which one predictor variable in a multiple regression model can be linearly predicted from the others with a substantial degree of accuracy. In this situation the coefficient estimates of the multiple regression may change erratically in response to small changes in the model or the data. Multicollinearity does not reduce the predictive power or reliability of the model as a whole, at least within the sample data set; it only affects calculations regarding individual predictors. That is, a multivariate regression model with collinear predictors can indicate how well the entire bundle of predictors predicts the outcome variable, but it may not give valid results about any individual predictor, or about which predictors are redundant with respect to others.
5 سال پیش
در تاریخ 1398/09/14 منتشر شده
است.
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