A standard logistic regression models the effect of age (20-29, 30-39, 40-49, 50-59, 60- 69) on experience of back pain (modeling yes vs. no). If age is included as a continuous covariate (with values 1, 2, 3, etc., as scores) and the regression parameter associated with age is estimated to be 0.21 with standard error of 0.08, in the model above, what would be the odds of backpain for a 55-year-old versus a 25-year old? Enter your answer to two numbers after the decimal place.
A standard logistic regression models the effect of age (20-29, 30-39, 40-49, 50-59, 60- 69) on experience of back pain (modeling yes vs. no). If age is included as a continuous covariate (with values 1, 2, 3, etc., as scores) and the regression parameter associated with age is estimated to be 0.21 with standard error of 0.08, in the model above, what would be the odds of backpain for a 55-year-old versus a 25-year old? Enter your answer to two numbers after the decimal place.
Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
Chapter2: Second-order Linear Odes
Section: Chapter Questions
Problem 1RQ
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A standard logistic regression models the effect of age (20-29, 30-39, 40-49, 50-59, 60-
69) on experience of back pain (modeling yes vs. no). If age is included as a continuous covariate (with values 1, 2, 3, etc., as scores) and the regression parameter associated with age is estimated to be 0.21 with standard error of 0.08, in the model above, what would be the odds of backpain for a 55-year-old versus a 25-year old? Enter your answer to two numbers after the decimal place.
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