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QUESTION 10 The following are true-false questions: (1) A model for a binary response has a continuous predictor: If the model truly holds, the deviance statistic for the model has an asymptotic chi squared distribution as the sample size increases. It can be used to test model goodness-of-fit. (i) For the horseshoe crab data, when width or weight is the sole predictor for the probability of a satellite, the likelihood-ratio test of the predictor effect has P-value <0.0001. When both weight and width are in the model, it is possible that the likelihood-ratio tests for the partial effects of width and weight could both have P-values larger 0.05. C) For the model, logit[pix]]= alpha + beta "x, suppose y-1 for all x<= 50 and y0 for all x>50. Then, the ML estimate beta-hat= infinity (a) (1) True, (8) True, () True (b) (1) True, (W) False, (H) True (c) (1) False, () True, (i) True (d) (i) True, () True, (ii) False 01 (4) 02 (b) 03 (c)

QUESTION 10 The following are true-false questions: (1) A model for a binary response has a continuous predictor: If the model truly holds, the deviance statistic for the model has an asymptotic chi squared distribution as the sample size increases. It can be used to test model goodness-of-fit. (i) For the horseshoe crab data, when width or weight is the sole predictor for the probability of a satellite, the likelihood-ratio test of the predictor effect has P-value <0.0001. When both weight and width are in the model, it is possible that the likelihood-ratio tests for the partial effects of width and weight could both have P-values larger 0.05. C) For the model, logit[pix]]= alpha + beta "x, suppose y-1 for all x<= 50 and y0 for all x>50. Then, the ML estimate beta-hat= infinity (a) (1) True, (8) True, () True (b) (1) True, (W) False, (H) True (c) (1) False, () True, (i) True (d) (i) True, () True, (ii) False 01 (4) 02 (b) 03 (c)

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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QUESTION 10 The following are true-false questions: (1) A model for a binary response has a continuous predictor: If the model truly holds, the deviance statistic for the model has an asymptotic chi squared distribution as the sample size increases. It can be used to test model goodness-of-fit. (i) For the horseshoe crab data, when width or weight is the sole predictor for the probability of a satellite, the likelihood-ratio test of the predictor effect has P-value <0.0001. When both weight and width are in the model, it is possible that the likelihood-ratio tests for the partial effects of width and weight could both have P-values larger 0.05.0 (ii) For the model, logit[pi(x)] = alpha+beta "x, suppose y1 for all x 50 and y0 for all x>50. Then, the ML estimate beta-hat infinity (a) (1) True, (8) True, (iii) True (b) (1) True, (i) False, (4) True (c) (1) False, (ii) True, (ii) True (d) (i) True. (1) True, (i) False 01 (d) 02 (b) 03 (c) 04 (a)
Transcribed Image Text:QUESTION 10 The following are true-false questions: (1) A model for a binary response has a continuous predictor: If the model truly holds, the deviance statistic for the model has an asymptotic chi squared distribution as the sample size increases. It can be used to test model goodness-of-fit. (i) For the horseshoe crab data, when width or weight is the sole predictor for the probability of a satellite, the likelihood-ratio test of the predictor effect has P-value <0.0001. When both weight and width are in the model, it is possible that the likelihood-ratio tests for the partial effects of width and weight could both have P-values larger 0.05.0 (ii) For the model, logit[pi(x)] = alpha+beta "x, suppose y1 for all x 50 and y0 for all x>50. Then, the ML estimate beta-hat infinity (a) (1) True, (8) True, (iii) True (b) (1) True, (i) False, (4) True (c) (1) False, (ii) True, (ii) True (d) (i) True. (1) True, (i) False 01 (d) 02 (b) 03 (c) 04 (a)
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