There has never been a Regression Analysis Guide like this.
It contains 213 answers, much more than you can imagine; comprehensive answers and extensive details and references, with insights that have never before been offered in print. Get the information you need--fast! This all-embracing guide offers a thorough view of key knowledge and detailed insight. This Guide introduces what you want to know about Regression Analysis.
A quick look inside of some of the subjects covered: Predictions - Sports, Regression Analysis of Time Series, Poisson regression - Regression models, Randomized experiment - Statistical Interpretation, Artificial neural network - Real-life applications, Curve fitting, Accelerated failure time model - Model specification, Stepwise regression - Main approaches, Forecasting - Causal / econometric forecasting methods, Studentized residual, Estimation of covariance matrices, Memory improvement - Exercise, Polynomial regression - History, Outline of economics - General economic concepts, Bias-variance dilemma, Principal component regression, Data mining Background, K-nearest neighbors classification, and much more…