## Understanding Regression Assumptions, Issue 92Through the use of careful explanation and examples, Berry demonstrates how to consider whether the assumptions of multiple regression are actually satisfied in a particular research project. Beginning with a brief review of the regression assumptions as they are typically presented in text books, he moves on to explore in detail the |

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### Contents

A Formal Presentation of the Regression Assumptions | 3 |

A Weighty Illustration | 13 |

The Substantive Meaning of Regression Assumptions | 22 |

The Assumption That the Error Term Is Normally | 81 |

89 | |

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### Common terms and phrases

assume Berry & Feldman bias biased CALORIES Consequently correlated cross-sectional cross-sectional regression denotes dent variables dichotomous disturbance term effect Equation 2.2 Equation 3.1 error of exclusion error term estimation model Estimator Bias example excluded variables expected value FAT2 frame of reference functional form Gauss-Markov assumptions Gujarati held constant heteroscedasticity homoscedasticity human weight illustration impact implies included income increase independent variables interact least squares linear and additive mators measurement error negative nonlinear and/or nonadditive nonsmokers normally distributed NRME observations OLS estimators OLS regression ordered discrete variable parameter estimators partial slope coefficient perfect multicollinearity positive pounds predicted proxy quantitative random variable reference model regression analysis regression assumptions regression equation regression model regressors relationship resulting saturated fat slope coefficient estimators SMOKER specification error substantive meaning theory time-series tion true model true score unbiased estimators uncorrelated value in Column vari variables are held variance vigorous exercise weight model yields zero

### References to this book

Discovering Statistics Using SPSS for Windows: Advanced Techniques for the ... Andy P. Field No preview available - 2000 |

Discovering Statistics Using SPSS: (and Sex, Drugs and Rock'n'roll) Andy P. Field No preview available - 2005 |