## Multiple Regression: A PrimerMultiple regression is at the heart of social science data analysis, because it deals with explanations and correlations. This book is a complete introduction to this statistical method. This textbook is designed for the first social statistics course a student takes and, unlike other titles aimed at a higher level, has been specifically written with the undergraduate student in mind. |

### Kullanıcılar ne diyor? - Eleştiri yazın

Her zamanki yerlerde hiçbir eleştiri bulamadık.

### İçindekiler

What Is Multiple Regression? | 1 |

How Do I Interpret | 25 |

What Can Go Wrong | 49 |

How Do I Run a Multiple Regression? | 71 |

How Does Bivariate Regression Work? | 97 |

What Are the Assumptions | 119 |

What Can Be Done | 137 |

How Can Multiple Regression Handle | 153 |

How Is Multiple Regression Related | 175 |

Answers to Questions | 189 |

195 | |

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### Sık kullanılan terimler ve kelime öbekleri

able additional assumptions average better calculate called causal Chapter coefficient column conclude confidence correlation course deleted dependent described discussed dummy variables effect equation error estimate exactly example factor Figure function give groups highly hypothesis important income increase independent variables individual intercept interpret intervals it's less linear look male married mean measure method multicollinearity multiple regression names nonlinear observed omitted packages points possible predicted probability problem produce programs questions random reason regression analysis regression equation regression line regression model relationship reported represent residuals sample scale schooling scores shows simple slope social standard standard error statistically significant Suppose Table tell term there's things tion tolerance transformation true urban usually vari variance zero