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. Learn how to:
Whether you’re learning regression analysis for the first time or have just never managed to get your head around it, The Manga Guide to Regression Analysis makes mastering this tricky technique straightforward and fun.
About the Author
Shin Takahashi attended Kyushu University, where he graduated with a master's degree in information technology. Having previously worked both as a data analyst and an instructor, he is now an author specializing in technical books. He is the author of The Manga Guide to Statistics and The Manga Guide to Linear Algebra (No Starch Press).
Table of Contents
Prologue: More Tea?
Chapter 1: A Refreshing Glass of Math
“The Manga Guide to Regression Analysis makes learning about complex math equations sound much less like a chore and more like a fun afternoon.”
“The use of manga might lull you into thinking that it lacks depth, but autocorrelation, logistic regression, and even the Mahalanobis difference are covered so it goes well beneath the surface.”
“Another fantastic Manga Guide book. Everyone learns differently, and this method of using an example tied to characters in a logical (business) situation makes learning the basics of regression analysis fun and relatively easy.”
Featured on Scholastic.com's Tech Tools Blog
“Never have I seen such an adorable way to learn higher-level mathematical techniques...The characters are fun and lively. It’s encouraging to see someone so eager to learn more about variance analysis and confidence intervals.”