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3 Book Boxset (BGCA-CINC-ERM): Beginner's Guide to Correlation Analysis, Correlation Is Not Causation, and Errors of Regression Models

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⭐⭐⭐⭐⭐

A bundle of our best-selling books with thousands of happy readers !

And 2 FREE bonuses too !

You will get the following files:
  • EPUB (2MB)
  • MOBI (3MB)
  • PDF (493KB)
  • EPUB (818KB)
  • MOBI (1MB)
  • EPUB (939KB)
  • MOBI (1MB)
  • EPUB (2MB)
  • MOBI (3MB)

WITH 2 FREE BONUSES !

The Future of Statistics

An anthology written with the contributions of some of the most prominent statisticians, data analysts and Data Scientists in the world to help you take the next steps in your Data Ninja journey!

Machine Learning Model Assessments - The Big Picture

An Ultra Hi-Def poster created to help you understand which statistics to use in every situation!

Beginner’s Guide to Correlation Analysis

Correlation analysis is one of the most used – and misunderstood – statistical techniques. Most correlation results are wrong, and for one very good reason. In this book we’re going to learn why this is - and learn how to fix it.

 

Beginner’s Guide to Correlation Analysis is written in plain English with no technical or statistical jargon.

In short, it is perfect for beginners!

Correlation Is Not Causation

Learn How to Avoid the 5 Traps That Even Pros Fall Into

 

Correlation Is Not Causation.

You know it and I know it, and yet we are constantly having to be reminded of it because we can’t seem to help but get it wrong.

 

It’s not our fault though – we’re only human. We seek explanation for patterns and events that happen around us, and if something defies logic, we try to find a reason why it might make sense. If something doesn’t add up, we make it up.

 

Correlation Is Not Causation explains how to systematically test for the five most common correlation-causation pitfalls that even the pros fall into (occasionally). We’ll learn to create strategies to analyse the data and interpret the results in a way that is easy to understand.


Best of all, there is no technical or statistical jargon – it is written in plain English.


It is packed with visually intuitive examples and makes no assumptions about your previous experience with correlations – in short, it is perfect for beginners!

Errors of Regression Models

Choosing the correct statistic to use in any given situation can seem like a daunting task at times. When there are numerous possible statistical calculations you can do with your data, there is not usually one correct answer – in most cases there is a spectrum of approaches, some of which are more appropriate than others.

    

In Errors of Regression Models you’ll learn how to choose the most appropriate statistics to measure the accuracy of your regression-based prediction model.

 

You’ll discover that there is a family of related statistics, each member of which has their own set of dedicated fans.

Nevertheless, in this case, there is one correct statistic to use, while all the other measures – while useful in their own way – give only partial answers as to how to select the most accurate predictive model.

 

Each of these family members will be introduced, and Errors of Regression Models will explain all their advantages and disadvantages, and show you precisely how to calculate and interpret all of them. Finally, Errors of Regression Models will explain exactly why one particular family member is The Daddy!

Easy to Read

These books are all easy-readers and enable researchers of all backgrounds to understand and to evaluate the data, analyses, results, graphs and interpretations in their own research and in that of others.


Best of all, they make no assumptions about your previous experience with statistics, are packed with visually intuitive examples and are perfect for beginners!


They are also incredibly entertaining and are great fun to read!

What's In Them...

Beginner's Guide to Correlation Analysis

  • What are Associations and Correlations?
  • Statistical Correlations
  • Statistical Associations – Measurements Within Categories
  • Statistical Associations – Counts Within Categories
  • Your Correlation Results Are Probably Wrong!
  • Bonus: Automating Associations and Correlations

Errors of Regression Models

  • Introduction
  • The Misunderstood: Errors, Residuals, Deviations
  • The Black Sheep of The Family: The R2 Value
  • The Tearaway: Variance of Residuals
  • The Good Twin: Mean Absolute Error
  • The Evil Twin: Mean Error
  • The Daddy: Root Mean Square Error
  • Jeez, That’s One Dysfunctional Family!
  • Summary – One Stat to Rule Them All

Correlation Is Not Causation

In Correlation Is Not Causation you’ll learn to create strategies to systematically test for the correlation-causation pitfalls that even the pros fall into.


  • Introduction
  • The Nature of Correlation and Causation
  • Avoiding the 5 Traps of Correlation v Causation
  • Summary

WITH 2 FREE BONUSES !

The Future of Statistics

An anthology written with the contributions of some of the most prominent statisticians, data analysts and Data Scientists in the world to help you take the next steps in your Data Ninja journey!

Machine Learning Model Assessments - The Big Picture

An Ultra Hi-Def poster created to help you understand which statistics to use in every situation!

Lee Baker

"My mission is to unleash your inner data ninja."


Lee Baker is an award-winning software creator.


With decades of experience in science, statistics and artificial intelligence, he has a passion for telling stories with data.


Insisting that data analysis is much simpler than we think it is, he authors friendly, easy-to-understand books that teach the fundamentals of data analysis and statistics.


As the CEO of Chi-Squared Innovations, one day he’d like to retire to do something simpler, like crocodile wrestling.

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