13. Interpret the intercept of your model in context.14. Would postal customers prefer to see a negative residual or a positive residual for postal rates in the coming year? explain.

Format Arrange View Share Window Help MTHH041055_Project 2 125% v EB A Zoom Add Page Insert Table Chart Text Shape Media Comment Part B: Questions 7 - 14 In an effort to decide if there is an association between the year of a postal increase and the new postal rate for first class mail, the data were gathered from the United States Postal Service. In 1981, the United States Postal Service changed their rates on March 22 and November 1. This information is shown in the table. Year Rate 7. Sketch and label a scatterplot. Make sure to use the actual years and label 1981 0.18 each axis. Hint: model your scatterplot after Figure 6.1 Prediction Errors in 1981 0.20 your textbook. (5 pts) 1985 0.22 1988 0.25 1991 0.29 1995 0.32 1999 0.33 2001 0.34 200 0.34 2002 0.37 2006 0.39 2007 0.41 2008 0.42 2009 0.44 8. Describe the association (strength, form, direction) between the year and postal rate. (5 pts) 9. Do you think a linear model is appropriate here? Explain. (4 pts) 10. Use your calculator to find the best fit linear model to predict postal rates from the year. (4 pts) Postalrate = 11. Use your model to predict the postal rate for 2004. Show your work. (4 pts) 12. Interpret the slope of your model in context. (4 pts)