Answer the following Confidence Interval/Linear Regression Problem:

You want to examine whether omega3 consumption is associated with body mass index (BMI) using linear regression. You use the following equation to fit your line: BMI = intercept + slope*omega3 What would be the null hypothesis that would best evaluate the question posed above? 0 a. Slope = 0 O b. Y intercept = 1 O c. Y intercept = 0 Q d. Slope :1 If your 95% CI for the slope ranges from 0.2 to 1.1, what would you conclude, given alpha = 0.05? O a. Fail to reject the null hypothesis, and conclude that omega-3 consumption is not associated with BMI. O b. Reject the null hypothesis, and conclude that omega-3 consumption is associated with higher BMI. O c. Reject the null hypothesis, and conclude that omega-3 consumption is associated with lower BMI. Q d. Fail to reject the null hypothesis, no further conclusions can be made. After fitting your linear regression to the data, you calculate an R2 of 0.1. Given this calculation, which of the following statements is most correct? 0 a. 10% of the variation in BMI is explained by omega-3 consumption. 0 b. There is a 10% chance that omega-3 consumption is associated with BMI. O c. For every 1 unit consumption of omega-3, BMI increases by 10%. 0 d. 10% of random (null) lines could produce an effect as strong or stronger than observed