This note presents a simple way to estimate time equations using regression analysis in Excel. The note quickly outlines regression analysis, then presents a real-life case example from the natural ...

Course Topics This course consists of two sections: Section 1 demonstrates linear regression to model the linear relationship between a response and predictor (s) when both the response and predictors ...

From the 248 studies with predictive equations that we retrieved, only 19% included enough detail regarding their estimated equations to allow for reliable comparison and meta-regression.

We consider nonparametric regression of a scalar outcome on a covariate when the outcome is missing at random (MAR) given the covariate and other observed auxiliary variables. We propose a class of ...

Nonlinear regression is a form of regression analysis in which data fit to a model is expressed as a mathematical function.

Regression discrepancy-model equations fail to account for the common practice of obtaining more than one achievement score for a discrepancy area (e.g., reading comprehension). This article presents ...