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Analisis Regresi II (Multiple Linear Regression) Dr. Kusman Sadik, M.Si Departemen Statistika IPB, 2017/2018
Analisis Regresi II
(Multiple Linear Regression)
Dr. Kusman Sadik, M.Si
Departemen Statistika IPB, 2017/2018
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To handle nonlinear relations by means of
appropriate transformations applied to one or both
variables.
To accommodate several predictor variables into
a regression model.
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To obtain a useful prediction model, one should
record the observations of all variables that may
significantly affect the response.
These other variables may then be incorporated
explicitly into the regression analysis.
The name multiple regression refers to a model of
relationship where the response depends on two or
more predictor variables.
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Pustaka
Johnson, R.A. and Bhattacharyya, G.K. 2010.
Statistics, Principles and Methods 6th. John Wiley
& Sons, Inc., New York.
Montgomery, D.C. 2013. Design and Analysis of
Experiments 8th. John Wiley & Sons, Inc., Canada.
Pustaka lain yang relevan.
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