Discovering Statistics Using IBM SPSS Statistics
by Andy Field
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Home » Chapter Specific Resources » 20: Categorical outcomes: logistic regression » Multiple choice questions
Chapter Specific Resources
Multiple choice questions
Logistic regression is used when you want to:
Answer choices
- Predict a dichotomous variable from continuous or dichotomous variables.
- Predict a continuous variable from dichotomous variables.
- Predict any categorical variable from several other categorical variables.
- Predict a continuous variable from dichotomous or continuous variables.
Answer: Predict a dichotomous variable from continuous or dichotomous variables
The odds ratio is:
Answer choices
- The ratio of the probability of an event not happening to the probability of the event happening.
- The probability of an event occurring.
- The ratio of the odds after a unit change in the predictor to the original odds.
- The ratio of the probability of an event happening to the probability of the event not happening.
Answer: The ratio of the odds after a unit change in the predictor to the original odds
Large values of the log-likelihood statistic indicate:
Answer choices
- That there are a greater number of explained vs. unexplained observations.
- That the statistical model fits the data well.
- That as the predictor variable increases, the likelihood of the outcome occurring decreases.
- That the statistical model is a poor fit of the data.
Answer: That the statistical model is a poor fit of the data
Logistic regression assumes a:
Answer choices
- Linear relationship between continuous predictor variables and the outcome variable.
- Linear relationship between continuous predictor variables and the logit of the outcome variable.
- Linear relationship between continuous predictor variables.
- Linear relationship between observations.
Answer: Linear relationship between continuous predictor variables and the logit of the outcome variable
In binary logistic regression:
Answer choices
- The dependent variable is continuous.
- The dependent variable is divided into two equal subcategories.
- The dependent variable consists of two categories.
- There is no dependent variable.
Answer: The dependent variable consists of two categories