Linear Regression Using R : An Introduction to Data Modeling

Please use this identifier to cite or link to this item: https://openlibrary-repo.ecampusontario.ca/jspui/handle/123456789/824

Title:	Linear Regression Using R : An Introduction to Data Modeling
Authors:	Lilja, David R.
Issue Date:	2016
Publisher:	University of Minnesota Libraries Publishing
Citation:	Lilja, David J. (2016). Linear Regression Using R: An Introduction to Data Modeling. University of Minnesota Libraries Publishing. Retrieved from the University of Minnesota Digital Conservancy, http://hdl.handle.net/11299/189222.
Abstract:	Linear Regression Using R: An Introduction to Data Modeling presents one of the fundamental data modeling techniques in an informal tutorial style. Learn how to predict system outputs from measured data using a detailed step-by-step process to develop, train, and test reliable regression models. Key modeling and programming concepts are intuitively described using the R programming language. All of the necessary resources are freely available online.
URI:	https://openlibrary-repo.ecampusontario.ca/jspui/handle/123456789/824
ISBN:	9781946135001
Other Identifiers:	5eed5def-f93b-4bc6-b205-637f3bae4103
Appears in Collections:	Ontario OER Collection

Files in This Item:

File	Description	Size	Format
LinearRegression_fulltext.pdf.jpg	%%cover%%	37.5 kB	JPEG	View/Open
LinearRegression_fulltext.pdf	%%downloads%% Digital PDF	1.71 MB	PDF	View/Open
all-data.csv	%%ancillary%% Student Resources: All Data (.csv file)	287.98 kB	Unknown	View/Open
read-data-v4.R	%%ancillary%% Student Resources: Read Data (.r file)	2.9 kB	Unknown	View/Open

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