Martin P. Linear Regression: An Introduction to Statistical Models

SAGE Publications, 2022. — 200 p. — (The SAGE Quantitative Research Kit). — ISBN 1526424177.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.True PDF