From the course: Complete Guide to AI and Data Science for SQL Developers: From Beginner to Advanced

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Creating the linear regression model and model summary: Part 2

Creating the linear regression model and model summary: Part 2 - SQL Tutorial

From the course: Complete Guide to AI and Data Science for SQL Developers: From Beginner to Advanced

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Creating the linear regression model and model summary: Part 2

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- [Instructor] Okay, before we move on, here is a good spot to pause the video and take a breather. There are a lot of numbers to take in, so don't be afraid to rewind and review what has been discussed thus far before we move on. Okay, now let's talk about the coefficients. Think of them as the key players in your model. Among them, we have const, which represents the intercept or starting point of our predictions. Similar to where a journey begins on a map, it's like the initial reference point for making predictions. It tells you where your predictions begin on the scale. Now, each predictor variable, like crime rate or river boundary, gets a coefficient. Think of the predictor variables such as crime rate or river boundary as key players in your model. Each one has its own coefficient, which is like a scorecard telling you both the direction, up or down, and the strength of their influence on home value log. It's…

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