Of course, we need more information about the regression to make any reliable conclusions. Does the model satisfy the assumptions of linear regression? Does the model fit the data (high R 2)? The the ...

Lesson 9 Simple Linear Regression The purpose of this tutorial is to continue our exploration of multivariate statistics by conducting a simple (one explanatory variable) linear regression analysis.

In this module, we will introduce the basic conceptual framework for statistical modeling in general, and linear statistical models in particular. In this module, we will learn how to fit linear ...

A solid coverage of the most important parts of the theory and application of regression models, and generalised linear models. Multiple regression and regression diagnostics. Generalised linear ...

Here, we describe an algorithm for simulating a sequence of networks generated from lagged dynamic network regression models DNR (V), a subfamily of TERGMs. Further, we introduce a smoothed estimator ...

David P. McCaffrey, David F. Andersen, Paul McCold, Doa Hoon Kim, Modeling Complexity: Using Dynamic Simulation to Link Regression and Case Studies, Journal of Policy Analysis and Management, Vol. 4, ...