For your Competency Discussion, respond to the following prompts within the Discussion area to engage with our faculty and prepare to begin the Competency. Simple linear regression involves the relationship of two variables, such as predicting weight based on height. Multiple linear regression relates three or more variables together in a linear model to make predictions. For example, calories consumed, minutes exercised, and hours slept all might be included in a model to predict weight loss. Consider the difference between simple linear regression and multiple linear regression to address the following: Provide two variables in your personal or professional life that you believe are correlated and explain why you believe there is a correlation. Explain if this correlation is positive or negative and why you believe this. Do you believe the correlation between these variables indicates the change in one variable is causing the change in the other? Why or why not