Linear regression : an introduction to statistical models / Peter Martin.

By:

Martin, Peter [Author]

Material type: Text

TextPublication details: Los Angeles : Sage Publication Ltd, c2021.Description: xiii, 178 pages : illustrations ; 25 cmISBN:

9781526424174

Subject(s):

LOC classification:

QA 76.9 .Q36 .M37 2021 c.1

Contents:

Part 1. What is a statistical model?.--Part 2. Simple linear regression.--Part 3. Assumption and transformations.--Part 4. Multiple linear regression: a model for multivariate relationship.--Part 5. Multiple linear regression: inference, assumptions and standardization.--Part 6. Where to go from here.

Summary: This text introduces linear regression, the fundamental statistical model used in quantitative social research. Grounded in real-world data and full of illuminating graphs, it covers both the theory and application of linear regression, giving you the practical knowledge and skills you need to successfully use statistical models in your own research.

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Holdings
Item type	Current library	Home library	Collection	Shelving location	Call number	Copy number	Status	Date due	Barcode
Books	NU BALIWAG	NU BALIWAG	Computer Engineering	General Circulation	GC QA 76.9 .Q36 .M37 2021 c.1 (Browse shelf(Opens below))	c.1	Available		NUBUL000005210

Includes glossary, references, and index.

This text introduces linear regression, the fundamental statistical model used in quantitative social research. Grounded in real-world data and full of illuminating graphs, it covers both the theory and application of linear regression, giving you the practical knowledge and skills you need to successfully use statistical models in your own research.

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