TY  - BOOK
AU  - Martin,Peter
TI  - Linear regression: an introduction to statistical models
T2  -  The SAGE quantitative research kit
SN  - 9781526424174
U1  - 519.536 M36 23
PY  - 2021///
CY  - Thousand Oaks, California
PB  - SAGE Publications Inc.
KW  - Regression analysis
KW  - Mathematical models
KW  - Quantitative research
N1  - Includes bibliographical references and index; 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; CoED; Bachelor of Secondary Education major in Mathematics
N2  - Part of The SAGE Quantitative Research Kit, this text helps you make the crucial steps towards mastering multivariate analysis of social science data, introducing the fundamental linear and non-linear regression models used in quantitative research. Peter Martin covers both the theory and application of statistical models, and illustrates them with illuminating graphs, discussing: • Linear regression, including dummy variables and predictor transformations for curvilinear relationships • Binary, ordinal and multinomial logistic regression models for categorical data • Models for count data, including Poisson, negative binomial, and zero-inflated regression • Checking model assumptions and the dangers of overfitting
ER  -