#1: A study concluded that the Relative Risk of lung cancer for people who smoke compared to people who do not smoke is 1.7 with a 95% CI of (1.2, 2.0). Which of the following statements is incorrect, based on this data alone?

a. There is a significant association between lung cancer and smoking status

b. People who smoke are at a higher risk of lung cancer compared to those who do not smoke.

c. People who smoke are 1.7 times more likely to get lung cancer than those who do not smoke.

d. Smoking causes lung cancer since RR is large and statistically significant

e. The probability of lung cancer is lower for those who do not smoke.

#2: You want to examine whether omega-3 consumption is associated with body mass index (BMI) using linear regression. You use the following equation to fit your line:

BMI = intercept + slope*omega-3

#Part a: If your 95% CI for the slope ranges from 0.2 to 1.1, what would you conclude, given alpha = 0.05?

a. Reject the null hypothesis, and conclude that omega-3 consumption is associated with higher BMI.

b. Reject the null hypothesis, and conclude that omega-3 consumption is associated with lower BMI.

c. Fail to reject the null hypothesis, and conclude that omega-3 consumption is not associated with BMI.

d. Fail to reject the null hypothesis, no further conclusions can be made.

#Part B: After fitting your linear regression to the data, you calculate an R2of 0.1. Given this calculation, which of the following statements is most correct?

a. There is a 10% chance that omega-3 consumption is associated with BMI.

b. For every 1 unit consumption of omega-3, BMI increases by 10%.

c. 10% of the variation in BMI is explained by omega-3 consumption.

d. 10% of random (null) lines could produce an effect as strong or stronger than observed.