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Linear Regression: An Introduction to Statistical Models (The SAGE Quantitative Research Kit)

Linear Regression: An Introduction to Statistical Models (The SAGE Quantitative Research Kit)

English | 2022 | ISBN: 1526424177 | 201 pages | True PDF EPUB | 27.17 MB

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

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