Linear regression : an introduction to statistical models
Author(s)
Bibliographic Information
Linear regression : an introduction to statistical models
（The SAGE quantitative research kit / editors, Malcolm Williams, Richard D. Wiggins, D. Betsy McCoach）
SAGE, c2021
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Note
Includes bibliographical references (p. [171]-173) and index
Description and Table of Contents
Description
This text introduces the fundamental linear regression models used in quantitative research. It covers both the theory and application of these statistical models, and illustrates them with illuminating graphs. The author offers guidence on:
Deciding the most appropriate model to use for your research
Conducting simple and multiple linear regression
Checking model assumptions and the dangers of overfitting
Part of The SAGE Quantitative Research Kit, this book will help you make the crucial steps towards mastering multivariate analysis of social science data.
Table of Contents
What is a statistical model
Simple linear regression
Assumptions and transformations
Multiple linear regression: A model for multivariate relationships
Multiple linear regression: Inference, assumptions, and standardization
Where to go from here
by "Nielsen BookData"