This analysis has a small dataset which explores the dataset from application point of view and I hope it would be a precursor to complex analysis using the same or different technique. *Note*: * ...

In this project, the aim was to develop a predictive model using linear regression to estimate the amount of tips that would be received in a restaurant setting. By analyzing various factors such as ...

Microsoft Excel 2010 comes with an expansion pack called the Analysis ToolPak that includes a number of analylitical tools, like the ability to create a liner regression table. Even though the ToolPak ...

It's easy to run a regression in Excel. The output contains a ton of information but you only need to understand a few key data points to make sense of your regression. You need the Analysis Toolpak ...

It’s easy to run a regression in Excel. The output contains a ton of information but you only need to understand a few key data points to make sense of your regression. You need the Analysis Toolpak ...

Successful investing requires the ability to distinguish long-term trends from the short-term noise that moves stock prices on a minute-to-minute basis. One way to tune out the random oscillations and ...

This can also be taught using R (no previous experience required). In this hands-on class, you will learn the fundamentals of applying linear regression to business data using Excel. In survey after ...

KStat - the Kellogg Statistics package - was designed for classroom use at the J.L. Kellogg Graduate School of Management. In its current form, it is "freeware", and may be used by anyone, for any ...