Standardized coefficients in logistic regression analysis have the same utility as standardized coefficients in linear regression analysis. Although there has been no consensus on the best way to ...

Using data to make smart decisions is powerful—but only if you know how to manage the tools behind it. Logistic regression, one of the most widely used methods in data analysis, can be a game ...

Logistic regression is a statistical method used to examine the relationship between a binary outcome variable and one or more explanatory variables. It is a special case of a regression model that ...

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.

Learn how to calculate moving averages in Excel using dynamic arrays. Simplify rolling totals with custom functions for efficient analysis.

Before we learn how to perform multivariate regression in Excel, it is important to have a refresher on regression as a whole and multivariate regression in particular.

Learn what Value at Risk is, what it indicates about a portfolio, its pros and cons, and how to calculate the VaR of a portfolio using Microsoft Excel.

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

Regression analysis is a statistical technique used to estimate the relationship between two or more variables. In Excel, you can perform this analysis using the built-in Data Analysis ToolPak. This ...

Conclusion: Excel provides a quick, easy, and accessible way to calculate linear regression and analyze relationships between variables. Now that you know how to create a linear regression model, ...