Linear Regression: An Introduction to Statistical Models

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 variablesand 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
In this engaging and well-illustrated volume of the SAGE Quantitative Research Kit, Peter Martin 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. The author covers both the theory and application of statistical models, with the help of illuminating graphs.