Variables and Relationship For this week's analysis, I chose MPG (City) and MPG (Highway) as my two variables. These two are closely related because both measure how efficiently a vehicle uses fuel under different driving conditions. Typically, vehicles with higher city fuel efficiency also perform better on the highway since both depend on similar engineering factors such as weight, aerodynamics, and engine performance. I suspected a positive relationship between the two variables, meaning that as city MPG increases, highway MPG also increases. This assumption makes sense because both are driven by the same mechanical and environmental influences. Independent Variable (X): MPG (CityIt is important to remember that typically a two-factor regression model cannot accurately describe the entire situation. Look at the dependent variable that your peer chose. 1. Name at least 2 independent factors you would use to run a Multiple Linear Regression (MLR), and explain why you feel they are related. 2. Then use those factors to run a Multiple Linear Regression (MLR) on your peer's data and see if the variables you chose are related to the dependent variable they chose. 3. What is your MLR equation? Is your MLR significant? 4. Are any of the Independent factors significant? 5. What is the R2 value? Explain and interpret this value and how it relates to the MLR. Make sure you include your MLR Excel output as an attachment in your response post