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| Preface | |
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| Acknowledgments | |
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| Introduction | |
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| Statistics in business | |
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| Learning statistics | |
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| Foundations | |
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| Identifying and summarizing data | |
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| Population distributions | |
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| Selecting individuals at random-probability | |
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| Random sampling | |
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| Central limit theorem-normal version | |
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| Student's t-distribution | |
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| Central limit theorem-t version | |
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| Interval estimation | |
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| Hypothesis testing | |
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| The rejection region method | |
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| The p-value method | |
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| Hypothesis test errors | |
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| Random errors and prediction | |
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| Chapter summary | |
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| Problems | |
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| Simple linear regression | |
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| Probability model for X and Y | |
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| Least squares criterion | |
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| Model evaluation | |
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| Regression standard error | |
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| Coefficient of determination-R[superscript 2] | |
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| Slope parameter | |
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| Model assumptions | |
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| Checking the model assumptions | |
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| Model interpretation | |
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| Estimation and prediction | |
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| Confidence interval for the population mean, E(Y) | |
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| Prediction interval for an individual Y-value | |
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| Chapter summary | |
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| Review example | |
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| Problems | |
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| Multiple linear regression | |
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| Probability model for (X[subscript 1],X[subscript 2],...) and Y | |
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| Least squares criterion | |
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| Model evaluation | |
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| Regression standard error | |
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| Coefficient of determination-R[superscript 2] | |
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| Regression parameters-global usefulness test | |
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| Regression parameters-nested model test | |
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| Regression parameters-individual tests | |
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| Model assumptions | |
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| Checking the model assumptions | |
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| Model interpretation | |
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| Estimation and prediction | |
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| Confidence interval for the population mean, E(Y) | |
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| Prediction interval for an individual Y-value | |
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| Chapter summary | |
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| Problems | |
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| Regression model building I | |
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| Transformations | |
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| Natural logarithm transformation for predictors | |
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| Polynomial transformation for predictors | |
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| Reciprocal transformation for predictors | |
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| Natural logarithm transformation for the response | |
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| Transformations for the response and predictors | |
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| Interactions | |
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| Qualitative predictors | |
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| Qualitative predictors with two levels | |
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| Qualitative predictors with three or more levels | |
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| Chapter summary | |
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| Problems | |
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| Regression model building II | |
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| Influential points | |
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| Outliers | |
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| Leverage | |
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| Cook's distance | |
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| Regression pitfalls | |
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| Autocorrelation | |
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| Multicollinearity | |
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| Excluding important predictor variables | |
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| Overfitting | |
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| Extrapolation | |
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| Missing Data | |
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| Model building guidelines | |
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| Model interpretation using graphics | |
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| Chapter summary | |
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| Problems | |
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| Case studies | |
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| Home prices | |
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| Data description | |
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| Exploratory data analysis | |
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| Regression model building | |
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| Results and conclusions | |
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| Further questions | |
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| Vehicle fuel efficiency | |
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| Data description | |
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| Exploratory data analysis | |
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| Regression model building | |
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| Results and conclusions | |
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| Further questions | |
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| Extensions | |
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| Generalized linear models | |
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| Logistic regression | |
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| Poisson regression | |
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| Discrete choice models | |
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| Multilevel models | |
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| Bayesian modeling | |
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| Frequentist inference | |
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| Bayesian inference | |
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| Computer software help | |
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| SPSS | |
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| Getting started and summarizing univariate data | |
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| Simple linear regression | |
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| Multiple linear regression | |
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| Minitab | |
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| Getting started and summarizing univariate data | |
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| Simple linear regression | |
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| Multiple linear regression | |
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| SAS | |
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| Getting started and summarizing univariate data | |
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| Simple linear regression | |
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| Multiple linear regression | |
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| R and S-PLUS | |
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| Getting started and summarizing univariate data | |
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| Simple linear regression | |
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| Multiple linear regression | |
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| Excel | |
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| Getting started and summarizing univariate data | |
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| Simple linear regression | |
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| Multiple linear regression | |
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| Problems | |
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| Critical values for t-distributions | |
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| Notation and formulas | |
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| Univariate data | |
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| Simple linear regression | |
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| Multiple linear regression | |
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| Mathematics refresher | |
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| The natural logarithm and exponential functions | |
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| Rounding and accuracy | |
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| Brief answers to selected problems | |
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| References | |
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| Glossary | |
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| Index | |