Match the health disparity to the correct racial/ethnic grou…

Match the health disparity to the correct racial/ethnic group. Use the process of elimination to match the disparity to the group that is most highly affected. Use each racial/ethnic group only once. There may be some choices that are never used. (2 pts each)

Now please show the area around your desk/table. This is not…

Now please show the area around your desk/table. This is not a 360o room scan. I only need a view of the area around your computer, similar to the image below. If you need to use your computer to do the scan (webcam embedded), then I wouldn’t expect to see your computer during the scan.

The first set of questions require you to match health dispa…

The first set of questions require you to match health disparities/inequities to the racial/ethnic group MOST affected.  Although some diseases or problems may be a disparity/inequity for more than one group, there is only one correct racial/ethnic group for each disease or problem. Use the process of elimination to rule out implausible answers and select the best choice. There may be some choices that are never used.

Question 2: Statistical Significance – 6 points For this que…

Question 2: Statistical Significance – 6 points For this question, use the unstandardized trainData. In model1, which regression coefficients are significant at the 95% confidence level? Are these the exact same regression coefficients that are significant at the 90% confidence level? (2 points) Build a new model using only the variables whose coefficients were found to be statistically significant at the 95% confidence level. Call it model2. Display the model summary. Using model2, interpret the coefficient of bp in the context of the data description. State any assumptions while interpreting the coefficient. (2 points) Perform a Partial F-test to compare the reduced model (model2) with the full model (model1) and interpret it at the 95% confidence level. Which one would you prefer? Is it good practice to select variables based on the statistical significance of individual coefficients? Why or why not? (2 points)