Refer to Beyond the Numbers 3.4 Scatterplots-Part II. In this exercise, you will compute the correlation coefficient between log25 (Child Mortality) and log (CO2 Emissions) for the 191 countries using 2006 data archived by Dr. Rosling. The raw data are available at statconcepts.com/student-resources/sta-296-datasets. You must use an online applet or a software package such as StatKey, Microsoft Excel, or Apple Numbers. Your instructor will tell you which package to use if a particular one is required. Questions 1. What is the value of r ? 2. How does this value of r compare to the one found in Exhibit 1 ? 3. Does the value of r suggest the association between Child Mortality and CO2. Emissions is strong or weak? How do you know? 4. Do you think the computation of r is appropriate for these data? Why or why not? (You constructed a scatterpiot of these data in Beyond the Numbers 3.4.) Refer to Beyond the Numbers 3.4 Scatterplots-Part II. In this exercise, you will compute the correlation coefficient between log25 (Child Mortality) and log (CO2 Emissions) for the 191 countries using 2006 data archived by Dr. Rosling. The raw data are available at statconcepts.com/student-resources/sta-296-datasets. You must use an online applet or a software package such as StatKey, Microsoft Excel, or Apple Numbers. Your instructor will tell you which package to use if a particular one is required. Questions 1. What is the value of r ? 2. How does this value of r compare to the one found in Exhibit 1 ? 3. Does the value of r suggest the association between Child Mortality and CO2. Emissions is strong or weak? How do you know? 4. Do you think the computation of r is appropriate for these data? Why or why not? (You constructed a scatterpiot of these data in Beyond the Numbers 3.4.)