Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of k-nearest neighbors regression to predict a single numeric value. Compared to other machine learning ...

Linear models, generalized linear models, and nonlinear models are examples of parametric regression models because we know the function that describes the relationship between the response and ...

Learn how to build a simple linear regression model in C++ using the least squares method. This step-by-step tutorial walks you through calculating the slope and intercept, predicting new values, and ...

History suggests that extreme run-ups in the cyclically adjusted price-earnings ratio are a signal that the stock market may be overvalued. A simple regression model using a small set of macroeconomic ...

Katz and King have previously proposed a statistical model for multiparty election data. They argue that ordinary least-squares (OLS) regression is inappropriate when the dependent variable measures ...

Patients typically experience a modest mean 8.1 mL/min/1.73 m2 decrease in the eGFR after cisplatin treatment. A simple regression model based on the pretreatment estimated glomerular filtration rate ...

The Annals of Statistics, Vol. 28, No. 5 (Oct., 2000), pp. 1245-1278 (34 pages) The interval mapping method has been shown to be a powerful tool for mapping QTL. However, it is still a challenge to ...