Title: Multiple regression and non-linear regression analysis.
Abstract: This chapter introduces the regression techniques for dealing with multiple variables. The multiple linear regression model is described and the testing of the significance, goodness-of-fit and assumptions of multiple linear regression are discussed. The regression analysis of non-linearly related data and the application of the data transformations to 'straighten' the data are shown. The curvilinear regression analysis is also described, as well as the truly non-linear regression analysis: growth models. An example of the application of a multiple linear regression analysis is provided, using the data on potato tuber yield in response to soil nitrogen, phosphate and potassium contents.
Publication Year: 2010
Publication Date: 2010-01-01
Language: en
Type: book-chapter
Indexed In: ['crossref']
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Cited By Count: 1
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