Statistics 101: Multiple Regression, Interactive Model Building
In this Statistics 101 video, we explore the process and decision logic regarding when to keep or exclude features from our multiple regression model using the interactive regression tool in JMP by SAS. This is done through conceptual explanations and by analyzing computer output from JMP but it is not a JMP tutorial. We use the software as a tool only to demonstrate. Enjoy! My playlist table of contents, Video Companion Guide PDF documents, and file downloads can be found on my website: https://www.bcfoltz.com JMP by SAS: https://www.jmp.com/en_us/software.html Happy learning! #statistics #machinelearning #datascience

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Statistics 101: Multiple Regression, Forward Selection

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Statistics 101: Multiple Regression, Keeping or Excluding Features

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Statistics 101: Multiple Regression, Backward Elimination

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Multiple Linear Regression: An Easy and Clear Beginner’s Guide

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Not-so-simple linear regression with R

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Regression assumptions explained!

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Statistics 101: Multiple Regression, Stepwise Regression

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How to Perform Regression Analysis in Excel

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Database Normalization for Beginners | How to Normalize Data w/ Power Query (full tutorial!)

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Statistics 101: Multiple Regression, Best Subsets

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The French Do Not Care About Work

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Regression Output Explained

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Train Your Brain to Never Forget (5 Feynman Habits)

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Statistics 101: Multiple Linear Regression, Data Preparation

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Niederlande – Japan Highlights | Gruppe F, FIFA WM 2026 | sportstudio

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Every Machine Learning Model Explained in 15 minutes

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Statistics 101: Model Building Methods - Forward, Backward, Stepwise, and Subsets

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Regression Analysis | Full Course 2025

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