Accurate interpretation of model outputs, such as beta coefficients in linear regression and odds ratios in logistic regression, is critical for drawing valid conclusions. This article focuses on the ...

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.

This article will cover the basic theory behind logistic regression, the types of logistic regression, when to use them and take you through a worked example.

Logistic regression diagnostics to detect any outlying cell proportions in the table and influential points in the factor space are also developed, taking account of the survey design. Finally, the ...

Learn how to perform regression analysis of your data in Microsoft Excel, a statistical process that helps you understand the relationship ...

This is an example of how I used Excel to learn and understand Logistic Regression - GaryWatson2801/Logistic-Regression-in-Excel ...

The application of logistic regression is widely used in medical research. The detection of outliers has become an essential part of logistic regression. It is often observed outliers have a ...

In this analysis, the methods used are the K-Nearest Neighbor classification method and the Logistic Regression classification method with data taken on the twitter application. This study examines ...