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# The manga guide to regression analysis

Author: Shin Takahashi; Iroha Inoue; Trend-pro Co. San Francisco : No Starch Press, [2016] eBook : Document : EnglishView all editions and formats WorldCat "A guide to regression analysis that combines Japanese-style manga cartoons with educational content. Concepts include matrix equations, inverse functions, logarithms, and differentials. Also covers single, multiple, and binomial logistic regression analysis, hypothesis tests, analysis of variance, F and Chi-squared distributions, and confidence intervals"-- (not yet rated) 0 with reviews - Be the first.

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Genre/Form: Electronic books Print version:Takahashi, Shin.Manga guide to regression analysisSan Francisco : No Starch Press, [2016](DLC) 2016000594 Document, Internet resource Internet Resource, Computer File Shin Takahashi; Iroha Inoue; Trend-pro Co. Find more information about: Shin Takahashi Iroha Inoue 9781593277284 1593277288 9781593277529 1593277520 935885243 Includes index. 1 online resource. Preface; Prologue; More Tea?; 1; A Refreshing Glass of Math; Building a Foundation; Inverse Functions; exponents and logarithms; Rules for exponents and logarithms; Differential calculus; Matrices; Adding Matrices; Multiplying Matrices; The Rules of Matrix Multiplication; Identity and Inverse Matrices; Statistical Data Types; Hypothesis Testing; Measuring Variation; Sum of Squared Deviations; Variance; Standard Deviation; Probability Density Functions; Normal Distributions; Chi-Squared Distributions; Probability Density Distribution Tables; F Distributions; 2; Simple Regression Analysis First StepsPlotting the Data; The Regression Equation; General Regression Analysis Procedure; step 1: Draw a scatter plot of the independent variable versus the dependent variable. If the dots line up, the variables may be correlated.; Step 2: Calculate the regression equation.; Step 3: Calculate the correlation coefficient (R ) and assess our population and assumptions.; Samples and Populations; Assumptions of Normality; Step 4: Conduct the analysis of variance.; Step 5: Calculate the confidence intervals.; step 6: Make a prediction!; Which Steps Are Necessary?; Standardized Residual Interpolation and ExtrapolationAutocorrelation; Nonlinear Regression; Transforming Nonlinear Equations into Linear Equations ; 3; Multiple Regression Analysis; Predicting with Many Variables; The multiple regression equation; Multiple Regression Analysis Step-by-Step; step 1: draw a scatter plot of each predictor variable and the outcome variable to see if they appear to be related.; step 2: calculate the multiple regression equation.; Step 3: Examine the accuracy of the multiple regression equation.; The Trouble with R2; Adjusted R2; hypothesis testing with multiple regression Step 4: Conduct the Analysis of Variance (ANOVA) Test.Finding S11 and S22; Step 5: calculate Confidence intervals for the population.; step 6: Make A Prediction!; choosing the best combination of Predictor variables; Assessing Populations with Multiple Regression Analysis; Standardized Residuals; Mahalanobis Distance; Step 1; Step 2; Step 3; Using Categorical Data in Multiple Regression analysis; Multicollinearity; determining the Relative Influence of Predictor Variables on the Outcome Variable; 4; Logistic Regression Analysis; The Final Lesson; the maximum likelihood method Finding the maximum likelihood Using the Likelihood FunctionChoosing Predictor variables; Logistic regression analysis in Action!; Logistic Regression Analysis Step-by-Step; Step 1: draw a scatter plot of the predictor variables and the outcome variable to see whether they appear to be related.; Step 2: calculate the logistic regression equation.; Step 3: assess the accuracy of the equation; Step 4: conduct the hypothesis tests.; Step 5: Predict whether the Norns special will sell.; Logistic Regression Analysis in the Real World; Logit, Odds Ratio, and Relative Risk ; Logit; Odds Ratio Manga de wakaru tōkeigaku. by Shin Takahashi, Iroha Inoue, and Trend-Pro Co., Ltd.

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"A guide to regression analysis that combines Japanese-style manga cartoons with educational content. Concepts include matrix equations, inverse functions, logarithms, and differentials. Also covers single, multiple, and binomial logistic regression analysis, hypothesis tests, analysis of variance, F and Chi-squared distributions, and confidence intervals"--

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