By assuming it is possible to understand regression analysis without fullycomprehending all its underlying proofs and theories this introduction to thewidely us... » 

By assuming it is possible to understand regression analysis without fullycomprehending all its underlying proofs and theories this introduction to thewidely used statistical technique is accessible to readers who may have only arudimentary knowledge of mathematics. Chapters discuss Pdescriptivestatistics using vector notation and the components of a simple regressionmodelBRthe logic of sampling distributions and simple hypothesis testing BRthe basic operations of matrix algebra and the properties of the multipleregression model testing compound hypotheses and the application of theregression model to the analyses of variance and covariance and BRstructuralequation models and influence statistics. P «