This article demonstrates the preferred pattern for the application of logistic methods with an illustration of logistic regression applied to a data set in testing a research hypothesis.

An introduction to regression and predictive analysis, using real world data to provide actionable insights that aid organisational decision-making processes.

Regression is probably most explicit example of a statistical model. The regression model provides both a systematic component (y = a + bx) and a random component (errors). Independent sample t-tests ...

Vector computers provide a new tool for management scientists. The application of that tool requires thinking in vector mode. This mode is examined in the context of Monte Carlo experiments with ...

The course assumes a good working knowledge of basic descriptive statistics and statistical inference, to the level covered on a standard introductory statistics course such as MY451 (Introduction to ...

Bell, David E. "Introduction to Regression Analysis with Lotus 1-2-3 and Regress." Harvard Business School Case 189-110, November 1988. (Revised June 1989 ...

Introduction to Python for Data Analysis Recall that R is a statistical programming language—a language designed to do things like t -tests, regression, and so on.

Introduction to R Introduction to R Course Topics R is a free computing and graphical software/environment for statistical analysis. This short course consists of 3 sections: Section 1 provides ...