1
Introduction
Introduction to Regression Analysis: A Data Science Approach
Preface
1
Introduction
2
Using R for data analysis
3
Exploratory data analysis
4
Simple linear regression
5
Inference for simple linear regression
6
Conditions and diagnostics for Simple Linear Regression
7
Multiple linear regression
8
Inference for multiple linear regression
9
Model evaluation and comparison
10
Logistic regression
11
Using tidymodels
12
Looking ahead
Appendices
A
Appendix
B
Data sets
References
Table of contents
1.1
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1
Introduction
1.1
To be posted.
Preface
2
Using R for data analysis