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4.1. In a 2x2 table (say categorical X=0 or 1 and categorical response Y=0 or 1). If X and Y are independent, the the odds ratio (for Y) comparing X=1 to X=0 will : a. Be greater than 1. b. Be less than 1. c. Be equal to 1. d. Be equal to 0. 4.2. Given a GLM, the saturated model will have residual deviance equal to: а. 1. b. 0. c. The null deviance. d. 0 4.3. If overdispersion is present in a generalized linear model, then the variance estimates from the model will be: a. Under estimated. b. Over estimated. c. Unaffected by the over dispersion. d. Estimated to be zero.

4.1. In a 2x2 table (say categorical X=0 or 1 and categorical response Y=0 or 1). If X and Y are independent, the the odds ratio (for Y) comparing X=1 to X=0 will : a. Be greater than 1. b. Be less than 1. c. Be equal to 1. d. Be equal to 0. 4.2. Given a GLM, the saturated model will have residual deviance equal to: а. 1. b. 0. c. The null deviance. d. 0 4.3. If overdispersion is present in a generalized linear model, then the variance estimates from the model will be: a. Under estimated. b. Over estimated. c. Unaffected by the over dispersion. d. Estimated to be zero.

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter4: Equations Of Linear Functions
Section: Chapter Questions
Problem 8SGR
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4.1. In a 2x2 table (say categorical X=0 or 1 and categorical response Y=0 or 1). If X and Y are independent, the the odds ratio (for Y) comparing X=1 to X=0 will : a. Be greater than 1. b. Be less than 1. c. Be equal to 1. d. Be equal to 0. 4.2. Given a GLM, the saturated model will have residual deviance equal to: a. 1. b. 0. c. The null deviance. d. 0 V 4.3. If overdispersion is present in a generalized linear model, then the variance estimates from the model will be: a. Under estimated. b. Over estimated. c. Unaffected by the over dispersion. d. Estimated to be zero.
Transcribed Image Text:4.1. In a 2x2 table (say categorical X=0 or 1 and categorical response Y=0 or 1). If X and Y are independent, the the odds ratio (for Y) comparing X=1 to X=0 will : a. Be greater than 1. b. Be less than 1. c. Be equal to 1. d. Be equal to 0. 4.2. Given a GLM, the saturated model will have residual deviance equal to: a. 1. b. 0. c. The null deviance. d. 0 V 4.3. If overdispersion is present in a generalized linear model, then the variance estimates from the model will be: a. Under estimated. b. Over estimated. c. Unaffected by the over dispersion. d. Estimated to be zero.
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