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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.

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