Master multivariate analysis for social science data with ‘Linear Regression,’ a key volume in The SAGE Quantitative Research Kit. This essential guide, by Peter Martin, expertly bridges theory and practical application. Explore fundamental linear and non-linear regression models, including dummy variables, predictor transformations, and models for categorical and count data like binary logistic, Poisson, and negative binomial regression. Learn to check model assumptions and avoid overfitting with clear explanations and illustrative graphs. Ideal for students and researchers seeking to enhance their quantitative skills and confidently analyze complex social science datasets. Buy ‘Linear Regression’ today and advance your research capabilities.