What is a binary variable? | A dichotomous variable, one that can assume only two values. Reference page(s): 213 |

What are common logarithms? | Base-10 logs Reference page(s): 217 |

What is a likelihood function? | A number that summarizes how well a model's predictions fit the observed data. Reference page(s): 224 |

What is logged likelihood? | The natural log of likelihood. MLE models generally maximize the sum of logged likelihoods rather the product of probabilities for computational reasons. Reference page(s): 225 |

What is logistic regression? | a nonlinear regression model that relates a set of explanatory variables to a dichotomous dependent variable |

What is a logistic regression coefficient? | a multiple regression coefficient based on the logistic model |

What are logits? | A shorthand reference for natural log transformations of odds. Reference page(s): 217 |

What is maximum likelihood estimation? | The parameter that is most consistent with the observed data. In other words, the observed data has a greater chance of occurring when the parameter equals the maximum likelihood estimate compared to the parameter equaling any other number. Reference page(s): 223 |

What are natural logarithms? | Base-e logarithms; base e is approximately equal to 2.72.Reference page(s): 217 |

What are odds? | the ratio of the frequency of one event to the frequency of a second event Reference page(s): 215 |

What is an odds ratio? | a measure of association between two dichotomous variables in which the odds of having a trait or property in one group are divided by the corresponding odds of the other group Reference page(s): 216 |

What is a percentage change in the odds? | Expressing the change in odds (as a result of a unit change in some explanatory variable) as a percentage. Reference page(s): 216 |

What is a probability profile? | Identifies the change in the probability of an event occurring from a change in the value of independent variables. Reference page(s): 230 |

What are sample averages? | Researchers generally estimate the effect of a change in the value of an independent variable on the probability of an event occurring for an observation with sample averages of other explanatory variables. Reference page(s): 230 |