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- W267133670 abstract "<title>Abstract</title> 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." @default.
- W267133670 created "2016-06-24" @default.
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- W267133670 date "2010-01-01" @default.
- W267133670 modified "2023-09-24" @default.
- W267133670 title "Multiple regression and non-linear regression analysis." @default.
- W267133670 doi "https://doi.org/10.1079/9781845935375.0244" @default.
- W267133670 hasPublicationYear "2010" @default.
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