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.
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
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).

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.

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

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).

Three Penguin Random House Authors Win Pulitzer Prizes

On Monday, May 5, three Penguin Random House authors were honored with a Pulitzer Prize. Established in 1917, the Pulitzer Prizes are the most prestigious awards in American letters. To date, PRH has 143 Pulitzer Prize winners, including William Faulkner, Eudora Welty, Josh Steinbeck, Ron Chernow, Anne Applebaum, Colson Whitehead, and many more. Take a look at our 2025 Pulitzer Prize

Read more

Books for LGBTQIA+ Pride Month

In June we celebrate Lesbian, Gay, Bisexual, Transgender, Queer, Intersex, and Asexual + (LGBTQIA+) Pride Month, which honors the 1969 Stonewall riots in Manhattan. Pride Month is a time to both celebrate the accomplishments of those in the LGBTQ+ community and recognize the ongoing struggles faced by many across the world who wish to live

Read more