5. Marilyn is looking for a new Honda. She wants to test for a relationship between mileage and price of cars. The standard deviation of mileage is 27,853. The standard deviation of price is $3,651.00. The correlation coefficient is -.748. If we are predicting mileage from price, compute the regression coefficient. Using the phrase given in class (On average, ...), explain in words what this slope means. What does this relationship tell about mileage and car prices? Does this regression coefficient make sense? 6. List what we are concluding if we accept the null in a regression problem (p. 179 in the course packet). Then list what we are concluding if we reject the null in a regression problem. You must list all the statements presented in the entire slide in class in order to get credit. 7. Write a scenario for a simple regression problem. You must include what the two variables are, stating which one is x and which one is y. Remember, y must be quantitative. Do not use the scenarios that are included in the course packet. If you base your idea off of another source, you must state the source