![]() ![]() Realization of linear regression in ExcelĮxplain the results of our prediction model Get all the important analysis tools in Excel In this article, I will explain how to build a linear regression model in Excel and how to analyze the results so that you can become an analyst! catalog We don’t need to be proficient in Excel or statistics to do predictive modeling! We can easily build a simple linear regression model in MS Excel, which can help us perform the analysis in a few simple steps. Microsoft Excel provides us with the ability to build predictive models without having to write complex code. Now you must wonder how they are going to build a complex statistical model to predict these things? Learning to analyze or hire analysts may be beyond their capabilities. Let me ask you a question – if the stores around you start collecting customer data, can they adopt a data-based strategy to sell their products? Can they predict their own sales or estimate the number of products they may sell? When I demonstrated how to use Excel’s flexibility to build predictive models for our data science and analysis projects, a skeptical look followed. ![]() ![]() This is usually my first reaction when I bring up this topic. Here is a tutorial on how to build a linear regression model in Excel and how to interpret the resultsĬan excel really build a prediction model? You can perform modeling in Excel in just a few steps ![]()
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