Data analysis using R - Answers and Regression Analysis - Lecture 9 (Part 1)
Channel: Danny Arends
Date: 2021-06-26

Answers to Assignment 8 and introduction into: linear models, regression, heteroscedasticity, and degrees of freedom using the R programming language, one of the most important tools in data science.

This is a live-stream recording of the 50+ hour MSc and PhD lecture series: "Data analysis using the R language for statistical computing", given digitally during the Covid19 pandemic at the Humboldt University in Berlin organized and lectured by Dr Danny Arends. 

#Lectures @ https://dannyarends.nl/lectures/
#Programming #Assignments and #Answers @ https://dannyarends.nl/assignments/
#Playlist: https://www.youtube.com/playlist?list=PLhR2Go-lh6X6ZJnN4WQScB4qjO4GYTO0S

Chapters:
00:00 Welcome and introduction
02:14 Answers to previous assignments (Creating your own R package)
04:23 The DESCRIPTION file for packages
05:00 The NAMESPACE file and loading external libraries
05:50 The R code and manual files in the package
09:59 Overview of the lecture
11:44 Ask questions !
13:01 Global overview of linear models
15:51 Regression analysis #dependent versus #independent variables
17:20 The #generalized regression model
19:21 #Assumptions underlying linear regression
26:21 Explaining #Heteroscedasticity on the board
33:16 Regression and #statistical #power, degrees of freedom (#DoF)
36:36 Linear regression and the lm() and summary() function in R
47:00 Plotting the best fit / regression line
53:04 Defining the confidence interval to a linear model

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