Linear Regression: An Introduction to Statistical Models (Paperback) (ISBN-13: 9781526424174)

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



Author: Peter Martin
ISBN-10: 1526424177
ISBN-13: 9781526424174
Publisher: Sage Publications Ltd
Language: English
Published: 05/30/2022
Pages: 200
Format: Paperback
Weight: 0.73lbs
Size: 9.61h x 6.69w x 0.43d