For a number of years now, No Starch Press has been publishing “The Manga Guide to” series in English. Although they might not be a complete replacement for a traditional textbook, each book presents the foundations of a particular scientific/mathematical topic, combined with a storyline presented manga-style.
The next book in the series, titled The Manga Guide to Regression Analysis, will arrive on bookstore shelves next month. This book has been authored by Shin Takahashi, who previously authored The Manga Guide to Statistics and The Manga Guide to Linear Algebra. It sets out to teach readers how to:
- Calculate the regression equation
- Check the accuracy of your equation with the correlation coefficient
- Perform hypothesis tests and analysis of variance, and calculate confidence intervals
- Make predictions using odds ratios and prediction intervals
- Verify the validity of your analysis with diagnostic checks
- Perform chi-squared tests and F-tests to check the goodness of fit
This might not be as general a book as those on Molecular Biology or Statistics for example, but speaking from experience, regression analysis can be a little tricky to get your head around at the start. How effective is this book at teaching regression analysis? Expect to find out in my review over the coming months.
Published by No Starch Press, The Manga Guide to Regression Analysis is set to launch next month with a suggested retail price of $24.95. For more information, including sample pages, visit the No Starch Press website.
Like a lot of people, Miu has had trouble learning regression analysis. But with new motivation—in the form of a handsome but shy customer—and the help of her brilliant café coworker Risa, she’s determined to master it.
Follow along with Miu and Risa in The Manga Guide to Regression Analysis as they calculate the effect of temperature on iced tea orders, predict bakery revenues, and work out the probability of cake sales with simple, multiple, and logistic regression analysis. You’ll get a refresher in basic concepts like matrix equations, inverse functions, logarithms, and differentiation before diving into the hard stuff.