## HEALTHCARE ASSIGNMENT FOR STATISTICS

Please use the data, StatCrunch, (or Excel), and your knowledge of statistics to answer the questions below. *Download the provided CDC data into StatCrunch or Excel (located under this assignment on the class site).
Part I
1a. Calculate the correlation coefficient (the r value) between each of the independent (and quantitative) variables, and the variable called diabetes.
Fill in this TABLE that gives the r value (correlation) between each variable in the dataset and diabetes:
r values TABLEObesity Rates
Physical Activity
Poverty Rate
Smoking

DIABETESr value here r value here r value here r value here

1b. What does this value tell us about the relationship between each of the independent variables and diabetes?
Hint: In other words, looks at each r value you have calculated. Each r-value will be either positive or negative (or 0). Each r-value will be strong, medium, or weak. Describe each of the r values in terms of the relationship that each represents.
FILL IN THIS TABLE TO ANSWER #2:
r values TABLEObesity RatesPhysical ActivityPoverty RateSmoking
DIABETESdescribe r value (positive or negative?) (strong, medium, weak)? What does it tell about the relationship? describe r value (positive or negative?) (strong, medium, weak)? What does it tell about the relationship?describe r value (positive or negative?) (strong, medium, weak)? What does it tell about the relationship?describe r value (positive or negative?) (strong, medium, weak)? What does it tell about the relationship?

2a. Run a regression using diabetes as the dependent variable (y), and smoking as the independent variable (x).
HINT: Therefore, the variable called Diabetes is going to be your dependent or y variable and the variable called smoking will be the independent or x variable. If you create a scatterplot (with the x variable on the horizontal axis and the y variable on the vertical access, you can see the relationship).