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.
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
![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.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Ff2db349d-44e2-4dc0-ad50-be44fa6802da%2Fe214083a-735e-4f71-859d-2877c9e7c674%2F8pkx85_processed.png&w=3840&q=75)
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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