MULTICOLLINEARITY NEW AND DETAILED EXPLANATION WITH FULL INFORMATION. EXAM PREPARATION.
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- Опубликовано: 4 окт 2024
- 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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Very helpful. splendid pronunciation. want more video on econometrics and time series.
Very helpful video
can you elaborate what is the difference between collinearity and Multicollinearity?
thank you so much Ma'am . I have learned alot from this video .
You explained very well
From Bangladesh Agricultural University
@@shkhanlearningcentre2741 thank you.
For classes what app at +919836793076
1. how estimates it will become indeterminate, i did not get it.
2. i am not convinced with second consequence
3. if we increase the sample size how can it give a solution to multicollinerity
Amazing
great explanation ma'am
Just so clear
Very good
Plzz give me link of CLRM
combining two variables ...can solve the multicollinearity???
Thanks ma'am, if possible please also share a detailed video about Frisch-Waugh-Lovell theorem.
Please teach at Amity university they need a teacher in the economics department
Thank you ma'am...
Your class is very nice,I love you much
Mam plz help in the topic of multivariate analysis discrimant analysis principal component analysis as u might be seeing the paper of Indian economic services general economics 1 questions come from that
Thank you for your comments . Feel free to send us any questions/ doubts / help /requirements for exam @ wa.me/+919836793076
Excellent ma'am...
Mam Can you pls make a Video on OLS estimate and MLE estimates
Tell me name of this teacher.and how we can search more lecture of this mam
Thank u Maam
Thank you
I can't see your vidieo please help
I like your class but Deep analysis
love you so much ma'am ❤
Can u please take the class for autoregressive and distributive lag model?
Is it is possible to estimate slope coefficient in case of perfect multicollinearty? Mam
No it is not. All the slope coefficients become 0 or indeterminate.
Tq so much ma'am..... ma'am please make video on detection of multicollinearity
Thank you for your comments . Feel free to send us any questions/ doubts / help /requirements for exam @ wa.me/+919836793076
CLRM means What?
Classical linear regression model
Multicollinearity can be completely removed from the model. (True/False). Give reasons
Thank you for your comments . Feel free to send us any questions/ doubts / help /requirements for exam @ wa.me/+919836793076
No you will lose valuable data sometimes which may leads to wrong predictions
You are distraction. I don’t know student concentrate Kaise karte honge jab tum padhati hogi
😂😂😂😂😂
Nice