Simple Linear Regression: Step By Step

On September 26, 2017, Dan Wellisch, Organizer of the Chicago Technology For Value-Based Healthcare Meetup, presented a detailed breakdown of the Linear Regression Model.  The Linear Regression Model is the first model that gets taught to Data Science students.  In its simplest form, there are 2 variables, an input (or feature) variable and an output (or prediction) variable.  The idea is to find the best-fit straight line between all the (x,y) points on a 2 dimensional graph where  the input variables (x) predict the output variables (y).  By minimizing the Sum Of The Squared Error, we can obtain that best-fit straight line.   Here is the full presentation:

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