19
Analysis Journey 4: Multiple Linear Regression.
Fundamentals of Quantitative Analysis
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Overview
How to use this book
1
Introduction to programming with R/R Studio
2
Creating reproducible documents
3
Introduction to Data Visualisation
4
Data wrangling 1
5
Data wrangling 2
6
Data Wrangling 3
7
Building your data visualisation skills
8
Regression with one continuous predictor
9
Regression with one categorical predictor
10
Statistical Power
11
Screening Data
12
One-way ANOVA
13
Factorial ANOVA
14
Multiple Regression
15
Dissertation Preparation
Data Analysis Journeys
16
Analysis Journey 1: Data Wrangling
17
Analysis Journey 2: Simple Linear Regression
18
Analysis Journey 3: ANOVA
19
Analysis Journey 4: Multiple Linear Regression.
References
Appendices
A
Installing
R
B
Updating packages
C
Additional Resources
D
Citing R and RStudio
E
Symbols
F
Probability
License
Table of contents
19.1
Data overview
19.2
Tasks
19.3
Solution
19
Analysis Journey 4: Multiple Linear Regression.
Activity on multiple linear regression.
19.1
Data overview
19.2
Tasks
19.3
Solution
18
Analysis Journey 3: ANOVA
References