Description

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 caf© 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

The Manga Guide To Regression Analysis

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RRP: £23.99 You save £2.40 (10%)
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Paperback / softback by Shin Takahashi

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Like a lot of people, Miu has had trouble learning regression analysis. But with new motivation in the form of... Read more

    Publisher: No Starch Press,US
    Publication Date: 01/05/2016
    ISBN13: 9781593277284, 978-1593277284
    ISBN10: 1593277288

    Number of Pages: 232

    Non Fiction , Mathematics & Science , Education

    Description

    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 caf© 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

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