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:
–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

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.
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).
Prologue: More Tea?
Chapter 1: A Refreshing Glass of Math
Chapter 2: Regression Analysis
Chapter 3: Multiple Linear Regression Analysis
Chapter 4: Logistic Regression Analysis
“Like Larry Gonick’s Cartoon Guide to Statistics, The Manga Guide to Regression Analysis similarly helps students grasp the meaning of R-squared, correlation coefficients, and null hypotheses—terms that have proved to be the bane of many students’ college careers.”
—Foreword Reviews

“It’s a great little book if you need to know regression, without doing a full-on mathematical course.”
Cosmos Magazine

The Manga Guide to Regression Analysis makes learning about complex math equations sound much less like a chore and more like a fun afternoon.”
—GeekMom

“The manga sections nail down all the big concepts in an easy-to-read way so that the reader is better prepared for the traditional sections that follow. Don't let the manga brand fool you; it's a legitimate way to learn the material.”
Otaku USA Magazine

“Each chapter begins with an overview of the problem at hand, a very 'high-level' discussion of the proposed regression technique, a clear outline of the necessary steps involved, and then the complete regression procedure is worked out. . . . Students will benefit greatly from this.”
—The Mathematical Association of America

“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.”
—Dr. Catey Bunce, Lead Statistician at Moorfields Eye Hospital NHS Foundation Trust

“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.”
—Sequential Tart

“Reading this book might be a nice prelude to diving into a statistical programming environment like R, since topics like ANOVA, confidence intervals, residuals, R-squared, multicollinearity etc. will make a lot more sense. As an added bonus, the book covers binomial logistic regression which is another popular supervised learning method designed to predict probabilities whether or not something will happen.”
—insideBIGDATA

“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.”
—Comics Worth Reading

"A detailed, in-depth educational tool ideal for classroom use or self-study! Highly recommended, especially for high school, college, and public library mathematics collections." 
—Midwest Book Review

About

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:
–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

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.

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
Chapter 2: Regression Analysis
Chapter 3: Multiple Linear Regression Analysis
Chapter 4: Logistic Regression Analysis

Praise

“Like Larry Gonick’s Cartoon Guide to Statistics, The Manga Guide to Regression Analysis similarly helps students grasp the meaning of R-squared, correlation coefficients, and null hypotheses—terms that have proved to be the bane of many students’ college careers.”
—Foreword Reviews

“It’s a great little book if you need to know regression, without doing a full-on mathematical course.”
Cosmos Magazine

The Manga Guide to Regression Analysis makes learning about complex math equations sound much less like a chore and more like a fun afternoon.”
—GeekMom

“The manga sections nail down all the big concepts in an easy-to-read way so that the reader is better prepared for the traditional sections that follow. Don't let the manga brand fool you; it's a legitimate way to learn the material.”
Otaku USA Magazine

“Each chapter begins with an overview of the problem at hand, a very 'high-level' discussion of the proposed regression technique, a clear outline of the necessary steps involved, and then the complete regression procedure is worked out. . . . Students will benefit greatly from this.”
—The Mathematical Association of America

“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.”
—Dr. Catey Bunce, Lead Statistician at Moorfields Eye Hospital NHS Foundation Trust

“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.”
—Sequential Tart

“Reading this book might be a nice prelude to diving into a statistical programming environment like R, since topics like ANOVA, confidence intervals, residuals, R-squared, multicollinearity etc. will make a lot more sense. As an added bonus, the book covers binomial logistic regression which is another popular supervised learning method designed to predict probabilities whether or not something will happen.”
—insideBIGDATA

“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.”
—Comics Worth Reading

"A detailed, in-depth educational tool ideal for classroom use or self-study! Highly recommended, especially for high school, college, and public library mathematics collections." 
—Midwest Book Review

Books for Native American Heritage Month

In celebration of Native American Heritage Month this November, Penguin Random House Education is highlighting books that detail the history of Native Americans, and stories that explore Native American culture and experiences. Browse our collections here: Native American Creators Native American History & Culture

Read more

2024 Middle and High School Collections

The Penguin Random House Education Middle School and High School Digital Collections feature outstanding fiction and nonfiction from the children’s, adult, DK, and Grupo Editorial divisions, as well as publishers distributed by Penguin Random House. Peruse online or download these valuable resources to discover great books in specific topic areas such as: English Language Arts,

Read more

PRH Education High School Collections

All reading communities should contain protected time for the sake of reading. Independent reading practices emphasize the process of making meaning through reading, not an end product. The school culture (teachers, administration, etc.) should affirm this daily practice time as inherently important instructional time for all readers. (NCTE, 2019)   The Penguin Random House High

Read more

PRH Education Translanguaging Collections

Translanguaging is a communicative practice of bilinguals and multilinguals, that is, it is a practice whereby bilinguals and multilinguals use their entire linguistic repertoire to communicate and make meaning (García, 2009; García, Ibarra Johnson, & Seltzer, 2017)   It is through that lens that we have partnered with teacher educators and bilingual education experts, Drs.

Read more