Name: Algebra 2 Module 2 Performance Assessment Show your work for each question. The answer boxes will automatically resize to accommodate your answers and work. You may: o Type your answers in the space provided using your keyboard and the equation editor of your word processor. e Write the work and answer for every question on a separate sheet of paper, take pictures of each answer, and upload the picture of each answer to the appropriate answer space. Be sure to complete all parts of every question. 1. Describe a real-world data collection situation that would lend itself to a linear relationship. 2. Describe a real-world data collection situation that would not have a linear relationship shape would this data make when graphed? 3. Explain why two data samples would or would not be enough information to find an accurate line of best fit. 4. Explain why 200 data samples would or would not be enough information to find an accurate line of best fit. 5. Describe the difference between making predictions from a graph and making predictions from an equation. 6. When is a graph most helpful in making predictions? How well does the number of cups of coffee a student drinks predict his or her caffeine content? Sixteen student volunteers at Ohio State University drank a randomly assigned number of cups of coffee. Thirty minutes later, the caffeine content was measured in their blood levels. A scatterplot of the data appears below. 025 Gaffeine Content 8. What does the scatterplot reveal? State in plain language as if you were explaining to a friend who knows very little statistics. 7. When is an equation most helpful in making predictions? 9. State your best guess for the correlation coefficient (r) of the scatterplot above