Since we are talking about the application of linear algebra, our experience comes from real-world cases. Let's begin with linear regression. So, let's say we are curious about the relationship between the age of a person and his/her sleeping quality. We'll use the data available online from the Great British Sleep Survey 2012 (https://www.sleepio.com/2012report/).
There were 20,814 people who took the survey, in an age range from under 20 to over 60 years old, and they evaluated their sleeping quality by scores from 4 to 6.
In this practice, we will just use 100 as our total population and simulate the age and sleeping scores followed the same distribution as the survey results. We want to know whether their age grows, sleep quality (scores) increases or decreases? As you already know, this is a hidden linear regression practice. Once we drew the regression line of the age and sleeping scores, by looking at the slope of the line, the answer will...
