From the course: Machine Learning & AI Foundations: Linear Regression

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Checking assumptions visually

Checking assumptions visually - SPSS Tutorial

From the course: Machine Learning & AI Foundations: Linear Regression

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Checking assumptions visually

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- [Instructor] Okay, when you are taking a look at a data set for the first time and you're about to build a multiple regression model, there's no substitute for just taking your time and thoroughly examining it visually. So let's do just that. We're gonna go into one of the case study data files, specifically waste.sav. Let me orient you to the data set. It's pretty straightforward. We've got amounts of municipal waste in tons. So this first case here is just over a third of a million tons of waste in a calendar year, and then these other variables are land utilization. So we have industrial land in acres, we've got fabricated metals in acres, trucking, retail, and restaurants, all acreage. So we're trying to predict the amount of municipal waste per year based upon how the land is being used. So how should we go about exploring this visually. Again, you just have to jump in and get comfortable with the variables. And since these were all scale variables and since we're doing…

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