Excel is incredibly powerful when your data is complete, but what happens when you need to solve for unknown variables? Enter Goal Seek and the Solver add-in, two tools that let Excel do the heavy ...

Have you ever found yourself staring at a massive Excel spreadsheet, wondering how to pull the right information from multiple columns without losing your mind? If so, you’re not alone. Whether you’re ...

Have you ever found yourself staring at a spreadsheet, trying to make sense of all those numbers? Many face the challenge of transforming raw data into actionable insights, especially when it comes to ...

The This action won’t work on multiple selections error typically appears when you try to execute an action that is not supported or incompatible with multiple ...

Abstract: The relationship between predictor variables and outcome variable has been the research focus in recent years. Interaction analysis is a form of multiple regression designed to test the ...

Regression discontinuity design (RDD) is a quasi-experimental approach to study the causal effect of an exposure on later outcomes by exploiting the discontinuity in the exposure probability at an ...

This repository contains an implementation of a multiple linear regression model for predictive analysis. The model explores the relationship between multiple independent variables and a dependent ...

If you are wondering how to use the Excel FILTER function with multiple criteria, here’s a tutorial to guide you through the steps and ensure you can efficiently filter and sort your data. The FILTER ...

You can create a release to package software, along with release notes and links to binary files, for other people to use. Learn more about releases in our docs.

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 ...