Data Analytics Computing: Multiple Linear Regression With Python

Multiple Linear Regression Description: In this video, we will continue exploring Linear Regression, extending the regression model to multiple predictors, using Multiple Linear Regression in Python Dataset used for this video: https://www.kaggle.com/datasets/thedevastator/fatal-traffic-accidents-in-arizona-2012-2016?select=accident.csv Code: https://github.com/Aurelius2500/Multiple-Linear-Regression A comprehensive coverage of Regression Models can be found in An Introduction to Statistical Learning, Chapter 3: https://www.statlearning.com/ How to plot Multiple Linear Regression with two predictors: https://aegis4048.github.io/mutiple_linear_regression_and_visualization_in_python Basics of reading data into Python: https://www.w3schools.com/python/pandas/pandas_csv.asp How to install Anaconda and Spyder on your computer: https://docs.anaconda.com/anaconda/install/index.html 0:00 Introduction and Data 4:10 The while loop for data reporting 12:00 Multiple Linear Regression 19:55 Another use of the while loop for Multiple Linear Regression 26:40 Statistical Inference with simpler models 33:35 Plotting to visualize multiple dimensions 37:25 The concept of the hyperplane and its relationship to the regression line 42:10 Predictions with Multiple Linear Regression