Simple linear regression is commonly used in forecasting and financial analysis—for a company to tell how a change in the GDP could affect sales, for example.

Regression analysis uses historical data and observation to predict future values. Historical Data. Business forecasting by its very nature uses historical data to forecast future performance of ...

Understanding one of the most important types of data analysis. by Amy Gallo You probably know by now that whenever possible you should be making data-driven decisions at work. But do you know how ...

We’ll use data taken from a Pew Research Center 2016 post-election survey, and you can download the dataset for your own use here. We’ll discuss both bivariate regression, which has one outcome ...

Data normalization and encoding is a surprisingly complex and subtle topic. In a non-demo scenario, data preparation can be tedious and time-consuming. It is possible to use raw training and test data ...

Line of Best Fit and Regression Analysis To perform a regression analysis, a statistician collects a set of data points, each including a complete set of dependent and independent variables.

Under the Data menu, the Data Analysis button allows you to select Regression. If you don't have a Data Analysis option available, then you'll need to download the Analysis ToolPak from Excel.

How data mining, regression analysis, machine learning (ML), and the democratization of data intelligence and visualization tools are changing the way we do business. By Rob Marvin July 12, 2016 ...