A researcher was interested in determining whether incentives affect the response rate in surveys. A simple random sample of 50 adult residents of a large city was selected. All were mailed a survey and promised a check upon returning a completed survey. Ten were promised a check for $1.00, 10 were promised a check for $5.00, 10 were promised a check for $10.00, 10 were promised a check for $25.00, and 10 were promised a check for $50.00. The amount ($1.00, $5.00, $10.00, $25.00, or $50.00) promised to each person was determined by randomization. For each person who was sent one of the surveys, the researcher recorded whether or not a completed survey was returned.
We wish to fit a logistic regression model
![53_14-21.gif](https://mywordsolution.com/CMSImages/53_14-21.gif)
where p is the binomial probability of returning a completed survey, and log is the natural logarithm. The model was fit using statistical software and the results are given below.
![1094_14-21-1.gif](https://mywordsolution.com/CMSImages/1094_14-21-1.gif)
A 95% confidence interval for the odds ratio is
A. (0.0128, 0.0904).
B. (1.0323, 1.0740).
C. (1.0129, 1.0946).