Researchers believe that whether someone is hired or not is related to their age (in years). To test this theory, we collected data on 100 people, and ran the following logistic regression model: ln (p / 1 p) = 0 + 1Age where p is the binomial probability that someone is hired.

Parameter Estimate Std.Error

Intercept 0.80 0.65

Age -0.02 0.015

1. (2 points) If someone's age decreases by 5 years, by how much will his odds of being hired decrease / increase?

Answer: (A) 1.105 (B) 2.501 (C) 0.746 (D) 5.020

2. (2 points) If someone is 28 years old, what is the probability of being hired?

Answer: (A) 0.74 (B) 0.63 (C) 0.56 (D) 0.23

3. (2 points) Calculate a 95% confidence interval for the slope.

Answer: (A) [0.4940, 0.0940] (B) [0.0494, 0.0094] (C) [1.4940, 1.0940] (D) [1.0494, 1.0094]

4. (2 points) Based on the confidence interval calculated above, what can you say about the P-value for the 2 the test for the slope?

Answer: (A) P-value < 0.01 (B) P-value is between 0.01 and 0.05 (C) P-value is between 0.05 and 0.1 (D) P-value > 0.05