Daily Dose 021 | Probability and Statistics
How can you hack Linear Regression problems?
Look, in a perfect utopia, we would be able to take our designs straight from paper in to the real world, but…
A utopia is not what exists.
Every system we design gets implemented in to a complex web of elements having variable inputs and outputs –
All of which, impact how our designs operate holistically in a real life context.
At Prepineer, we believe it’s important for all engineers to be well versed in using predictable analysis as a tool for designing reliably safe and optimized systems that better the communities around us.
In this video, we dive into a FE Exam Practice Problem in the subject of ENGINEERING PROBABILITY & STATISTICS, specifically learning how to hack a LEAST SQUARES LINEAR REGRESSION LINE.
In a past video, we carried this process out manually. In this video, we will show you how to hack such a problem using your NCEES approved calculator.
What is LEAST SQUARES LINEAR REGRESSION?
The method of LEAST SQUARES is a standard approach in REGRESSION ANALYSIS, or LINEAR REGRESSION ANALYSIS, used to approximate the solution of sets of equations in which there are more equations than unknowns.
LEAST SQUARES means that the overall solution minimizes the sum of the squares of the residuals made in the results of every single equation.
Check out the video and see how we can go about solving this type of problem in the most efficient manner.
As always, with Love, Prepineer
How to hack a Linear Regression problem
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