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
![796_14-19.gif](https://mywordsolution.com/CMSImages/796_14-19.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.
![2053_14-19-1.gif](https://mywordsolution.com/CMSImages/2053_14-19-1.gif)
The value of the X2 test statistic for testing the hypothesis H0: β1 = 0 is
A. 0.0516.
B. 2.6061.
C. 6.7916.