Multiple regression analysis
published: Aug. 7, 2009, recorded: August 2009, views: 26678
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Description
The course starts with a discussion of the logic of the multivariate regression model and the central assumptions underlying the ordinary least squares approach. Then it proceeds with testing for the adequacy of the assumptions and suitable corrections and extensions to the estimation techniques in the context of cross-sectional data. Particular emphasis will be laid on multicollinearity and heteroskedasticity. The second part of the course focuses on functional form. Models that are nonlinear in variables but linear in parameters, dummy variables, and interaction terms will be covered. In the third part, various topics arising with special data are covered. Firstly, the analysis of binary dependent variables is introduced. Secondly, problems involved with the analysis of longitudinal data, i.e. time series and panel data, are discussed, with special emphasis on autocorrelation. The course assumes proficiency with descriptive and inferential statistics at the level of test theory and bivariate regression analysis.
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Reviews and comments:
Dear Sir/Ma'am,
Really enjoyed this lecture.
Would it be possible to post the rest of the lectures from this Multiple Regression Analysis course?
Thanks much!
Hello,
The lecture was just excellent.
Would it be possible to view the remaining lectures from this course?
Greetings,
C.Kofri
I really enjoyed this lecture and impressed by the way kittel made it easy to understand regression analysis.
Its really a commendable work and I would like to watch the other parts as well.
Please let me know how can I watch the remaining lectures.
Thank you.
Brajesh Kumar
Bravo, Dr. Kittel!
The lecture was great.
I would like to view the remaining lectures from this course?
The same ! How could we view the other lectures?
Excelent course!
the lecture should be sent to my mail because i can wait to unread the reality behind it
Please send the remaining lectures in the course
Thank you for posting this lecture. Is it possible to view the following lectures?
Thank you for the lecture.
Please send the remaining lectures in the course, me too.
please send me the link to other lectures
SIR PLz post me such valueable lecturer
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