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The Manga Guide to Regression Analysis, by Shin Takahashi
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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).
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Product details
Series: Manga Guide
Paperback: 232 pages
Publisher: No Starch Press; 1 edition (May 1, 2016)
Language: English
ISBN-10: 1593277288
ISBN-13: 978-1593277284
Product Dimensions:
7.1 x 0.6 x 9.2 inches
Shipping Weight: 1 pounds (View shipping rates and policies)
Average Customer Review:
3.4 out of 5 stars
17 customer reviews
Amazon Best Sellers Rank:
#104,332 in Books (See Top 100 in Books)
These Manga Guides are great. This one is no exception
Disclaimer: the good folks at No Starch Press were kind enough to provide me with a review copy of this book, but this did not influence my assessment in any way.The Manga Guide To Regression Analysis is No Starch’s latest addition to the popular Manga Guide series which so far consists of 12 books covering different topics in science and mathematics. Not surprisingly the series is originally from Japan, where it is published by Omsha.Having read quite a few books on mathematics and statistic, I know from personal experience how dense and boring they can be, so any effort to make these very interesting subjects more approachable is more than welcome.The story follows waitress Miu, who would like to study regression analysis to get closer to a handsome customer. This in itself may turn some people off this book. The whole idea that a female main character only wants to study some maths so she can get closer to her secret crush can seem a bit demeaning to women. STEM subjects already suffer from a shortage of females, so we should encourage them as much as possible without further stereotyping them. At least this is somewhat redeemed by the fact that Miu’s teacher is her female coworker Risa, but some readers may still be bothered by this.The book starts of with a pretty long section on mathematical concepts like logarithms and differential calculus. While nicely presented it didn’t seem necessary to do it in such a condensed form (or at this length considering that this is supposed to be an introductory text), I think it would be less scary for potential readers if the relevant bits got introduced as needed. From what I’ve gathered online that’s what other parts of the series do, and I believe it would also have worked better in this volume.As the story progresses we are introduced to the regression equation, with examples relevant to the café the main characters work at. From there the title moves on to introducing correlation coefficients, hypothesis tests, variance analysis, and confidence intervals and much more. Once again the presentation was nicely done, but I couldn’t help but wonder if somebody with a limited maths/statistics background would be able to follow.This becomes even more of an issue when the book moves on to topics like multiple and logistic regression analysis. If this is one’s first exposure to these concepts, I’m not sure that the content up to that point will have been sufficient for understanding, while readers already familiar with the subject matter may not find too much interesting material here.Overall this has not been my favorite title by No Starch so far, but I never read one of their Manga Guides before. While I do appreciate the attempt to make difficult subjects more approachable, I’m not entirely sure it worked for me in this case. Without previous knowledge of statistics and regression analysis I think some parts of the book would have been a bit over my head, though that is obviously a bit hard to judge. That said they drawings are nice with a cute enough background story (if you can deal with the caveat mentioned above) and different approaches work for different people. So while I can’t give this book a wholehearted recommendation, it’s definitely worth checking out if you need to learn some regression analysis and find more traditional books too boring. It could also be a useful resource during exam preparation or revision, since the nice and easygoing presentation could be beneficial to those with prior knowledge of the subject.
I am not a manga devotee, but I have a math background, and I appreciate creative initiatives intended to make math more fun and more understandable. The Manga Guide to Regression Analysis looked like an enjoyable way for me to try manga and perhaps find a book to recommend those whose love of math does not match mine.The Preface says that the intended audience is “statistics and math students who may be having difficulty grasping regression analysis, or anyone wanting to get started with statistical predictions or probabilitiesâ€. It says some basic knowledge of statistics is needed (and recommends the Manga Guide to Statistics, not surprisingly) but presumably is not intended for math lovers. If so, I think it misses the mark for the intended audience.The manga story is cute if a bit lightweight---a shy student who works in a tea room and is apparently not a great student of math asks her friend to help her learn regression analysis so that she can impress a studious young man who is a frequent customer at the tea room.Unfortunately, I fear the approach to the subject taken in the book would likely scare off anyone who is not a real math fan before they get very far. The first 45 pages are not about statistics at all but are on mathematical concepts that are not really central to an introduction to regression analysis, like logarithms and differential calculus. It would be much better to introduce these subjects, if they are really needed, later after the basics of regression analysis has been explained and the reader is more motivated to learn them. (I took a full-semester course on applied regression analysis, and I don’t think we used calculus.) Worse, many of the explanations are not very clear and are likely to be confusing to someone who does not already know the concept. I thought the very first topic, inverse functions, was so poorly described that I showed it to a friend, who concurred. Some of the problem could be due to the translation, but clearly not all the blame lies there.Once the book moves on to statistics, the explanations do not get clearer. For example, it defines “linearly independent†to mean that “no set of J columns shown can be used to exactly infer the content of another column within that set.†This makes no sense and is likely to make the poor reader reread and scratch his or her head several times before understanding it; it should say something like “no subset of J columns can be used to exactly infer the content of another column in the data set.â€In sum, I can’t recommend this book to someone having trouble learning regression analysis or wanting an introduction to the subject.
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