Assignment Instructions: APA style, at last 3 references
Simple linear regression involves the relationship of two variables, such as predicting weight based on height. Multiple linear regressions relate 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 regressions to address the following:
Question 1: Provide two variables in your personal or professional life that you believe are correlated and explain why you believe there is a correlation.
Question 2: Explain if this correlation is positive or negative and why you believe this.
Question 3: 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?