Chapter 9 Flashcards
The relationship between the odds at one value of the independent variable compared with the odds at the next lower value of the independent variable is called the ______.
Odds Ratio
The relationship between the odds at one value of the independent variable compared with the odds at the next lower value of the independent variable is called the ______.
True
MERs stands for ______ effects at representative values.
Marginal
Logistic regression estimates the ______ effects at the means when using more than one independent variable.
Marginal
MLE compares the probability of a correct guess between two models by ______ the logged likelihood of Model 1 ______ Model 2.
Subtracting; from
A variable coded as voted/not voted is an example of a ______ variable.
Binary
Both OLS and logistic regression are flexible in that they permit the use of multiple independent variables, including dummy independent variables.
True
______ expresses a number as an exponent of some constant or base.
Logged Odds
As we move from one value of the independent variable to the next, we describe the relationship between it and a change in the category of the dependent variable as the ______.
Odds Ratio
Common logarithms are used widely in electronics and experimental sciences.
True
The natural log of a correct guess is called the ______ in logistic regression.
Logged likelihood
The marginal effects at the medium approach is useful when more than one independent variable is measured at the interval-level and researches want to convey the effect of one interval-level independent variable on the probability of the outcome, while other interval-level independent variables are help constant at their mean values.
False
Maximum likelihood estimation (MLE) is the heart and soul of logistic regression.
True
A binary variable is one that can assume only two values.
True
A number that summarizes how well a model’s predictions fit the observed data is called an estimator.
False
