Linear Regression with a Single Variable The Tutorial

Also known as simple linear regression or the linear estimator, is a fundamental concept in statistical modeling and machine learning. This method focuses on establishing a linear relationship between a dependent variable and a single independent variable. By fitting a straight line to the data points, the goal is to find the bestfitting line that maximises accuracy.

Please forgive the awkward silence's and odd mistakes that I had to correct live during the recording, had to adjust to Google Sheets and was not as well prepared as usual!

Never the less I hope some of you find this helpful.
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