Linear Regression Using R : An Introduction to Data Modeling

Lilja, David R.

dc.contributor.author	Lilja, David R.
dc.creator	Lilja, David R.
dc.date.accessioned	2020-09-01T20:30:26Z
dc.date.available	2020-09-01T20:30:26Z
dc.date.issued	2016
dc.identifier	5eed5def-f93b-4bc6-b205-637f3bae4103
dc.identifier.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.
dc.identifier.isbn	9781946135001
dc.identifier.uri	https://openlibrary-repo.ecampusontario.ca/jspui/handle/123456789/824
dc.description.tableofcontents	1. Introduction
dc.description.tableofcontents	2. Understand Your Data
dc.description.tableofcontents	3. One-Factor Regression
dc.description.tableofcontents	4. Multi-factor Regression
dc.description.tableofcontents	5. Predicting Responses
dc.description.tableofcontents	6. Reading Data into the R Environment
dc.language.iso	eng	en_US
dc.publisher	University of Minnesota Libraries Publishing
dc.rights	CC BY-NC \| https://creativecommons.org/licenses/by-nc/4.0/	en_US
dc.title	Linear Regression Using R : An Introduction to Data Modeling	en_US
dc.type	Book
dc.type	Other
dcterms.accessRights	Open Access
dcterms.educationLevel	Adult and Continuing Education
dc.identifier.slug	https://openlibrary.ecampusontario.ca/catalogue/item/?id=5eed5def-f93b-4bc6-b205-637f3bae4103
ecO-OER.Adopted	No
ecO-OER.AncillaryMaterial	Yes
ecO-OER.InstitutionalAffiliation	University of Minnesota	en_US
ecO-OER.ISNI	0000 0004 1936 8657
ecO-OER.Reviewed	No
dc.identifier.doi	https://doi.org/10.24926/8668/1301
ecO-OER.AccessibilityStatement	Unknown
lrmi.learningResourceType	Learning Resource - Textbook
lrmi.learningResourceType	Learning Resource - Data/Dataset
ecO-OER.POD.compatible	Yes
dc.description.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.	en_US
dc.subject.other	Technology - Programming & Programs
dc.subject.other	Technology - Research & Data
ecO-OER.ItemType	Textbook
ecO-OER.MediaFormat	PDF