need a response to 2 post

JL

Good Evening Class, 

    For this weeks discussion I have chosen

6. What is regression and correlation? Does correlation inherently define causation?

Correlation is a single data point or statistic (example, how many people were hospitalized in Alaska due to car accidents in August 2018). Regression is the entire equation with all of the data points. Regression is often represented with a line. Correlation is the relationship between variables; regression lets us see how the variables effect each other. 

Does correlation inherently define causation? Not always. 

Example, exercise and increase of skin cancer. You work for a dermatology company in the medical coding and billing department as the department head. You are doing survey analysis with all skin cancer treatments. one commonality  in 95% of the surveys state that people being treated for skin cancer exercise regularly. You see this and begin to research. reaching across to other medical professionals you find that as interest in exercise increases so does the risk for skin cancer. Your hypothesis is stress on the body or possibly chemical. Eventually researchers look into this as insurance covers a lot of cost for dermal melanoma (skin cancer). The finding is not causation, as the interest in exercise increases so does the desire to be outside. Being outside increases the amount of sun exposure. Sun exposure increases the risk of skin cancer. The variables of exercise and skin cancer are not connected but appear to be connected. 

Respectfully 

Joseph 

Lind, D., Marchal, W., & Wathen, S. (2013). Basic Statistics for Business and Economics, 8th Ed. New York: McGraw-Hill/Ingram.