Exam 20: Categorical Outcomes: Logistic Regression

Logistic regression uses the log-likelihood statistic to evaluate the fit of a model, based on the predicted and observed values, and is closely related to the deviance, but how is deviance expressed?

(Multiple Choice)

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Question 21

What type of distribution does deviance follow?

(Multiple Choice)

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Question 22

Which of the following is the most appropriate example of logistic regression?

(Multiple Choice)

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Question 23

What range is used when evaluating the predictive ability of an independent (X) variable (e.g. numbers of passes in field hockey) and the outcome (Y) variable (e.g. outcome of the game - win, draw or lose)?

(Multiple Choice)

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Question 24

Which of the following is a categorical variable?

(Multiple Choice)

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Question 25

Showing 21 - 25 of 25

Logistic regression uses the log-likelihood statistic to evaluate the fit of a model, based on the predicted and observed values, and is closely related to the deviance, but how is deviance expressed?

What type of distribution does deviance follow?

Which of the following is the most appropriate example of logistic regression?

What range is used when evaluating the predictive ability of an independent (X) variable (e.g. numbers of passes in field hockey) and the outcome (Y) variable (e.g. outcome of the game - win, draw or lose)?

Which of the following is a categorical variable?

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Non-Parametric Models

Correlation

The Linear Model Regression

Comparing Two Means

Moderation, Mediation and Multicategory Predictors

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Glm 2: Comparing Means Adjusted for Other Predictors Analysis of Covariance

Glm 3: Factorial Designs

Glm 4: Repeated-Measures Designs

Glm 5: Mixed Designs

Multivariate Analysis of Variance Manova

Exploratory Factor Analysis

Categorical Outcomes: Chi-Square and Loglinear Analysis

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