1. Generate a scatterplot for Trade-in Value vs Odometer and graph the least-squares regression line on the same plot. 2. What is the equation for the least-squares regression line that describes the relationship between Trade-in Value and Odometer Reading? Let Distance be the explanatory variable and Rate the response variable. 3. Identify and interpret 1. 4. Identify and interpret Bo. 5. Identify and interpret the correlation coefficient r. 6. Identify and interpret the coefficient of determination. 7. What is se? 8. What is sb? 9. Assuming the residuals are normally distributed, test whether a linear relation exists between Trade-in Value and Odometer Reading using an alpha level of significance = 0.05. 10. Assuming the residuals are normally distributed, construct and interpret a 95% confidence interval for 11. What is the predicted Trade-in Value for an Odometer Reading of 70,000 miles? 12. Construct and interpret the 95% prediction interval for the Trade-in Value when the Odometer Reading is 70,000 miles. 13. Construct and interpret the 95% confidence interval for the Trade-in Value when the Odometer Reading is 70,000 miles. 14. What can you say about the relationship between the Trade-in Value and the Odometer Reading? r ODOMETER READING, X TRADE-IN VALUE, Y in miles in dollars 59000 6700 92000 6100 61000 7300 72000 6900 52000 7100 67000 6900 88000 6500 62000 7000 95000 5900 83000 6300 60000 7000 65000 6600 72000 6800 82000 6300 74000 6600 56000 7400