In the dataset, we are investigating the relationships of three training groups and conscientiousness with sales. If you don’t have a dataset, you can download the example dataset here. To answer these questions, we can use Excel to calculate a regression equation. Of course, there is more nuance to dummy-coded regression, but we will keep it simple. What is the relationship of a widget’s manufacturing process on its assessed quality while accounting for the machine operator’s tenure?.What is the relationship of people’s county of residence on their life satisfaction while accounting for their income?.What is the relationship of people’s training groups on their job performance while accounting for their job satisfaction?.This is where dummy coding can come into play, which can be used to answer the following questions and similar others: Believe it or not, a linear regression can also identify the differences between groups pretty well – as long as we know how to code our predictors correctly. As always, if you have any questions, please email me at typical type of regression is a linear regression, which identifies a linear relationship between predictor(s) and an outcome. This page is a brief lesson on how to perform a dummy-coded regression in Excel. To do this, dummy-coded regression can help out. Typically, I tell students that the two primary categories of “basic” statistics is whether they (a) determine the relationship between things or (b) the differences between groups.
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