6. Look at a scatterplot of data comparing a person's annual income to his/her age. 80000 50000 Median 40000 Income 30000 X 20000 10000 20 40 60 80 Age -10000 Now consider the following statement made by a student studying elementary statistics: Clearly, there is no association between age and income, because the correlation coefficient is only 0.012. Explain what is wrong with the comment. 7. Bear Mountain Community College administrators want to know the impact a student's work schedule has on GPA. They tracked the number of hours a student worked at their jobs each week and compared that to their semester GPA. Below are data for 10 students. # hours 18 28 42 25 31 12 14 10 36 GPA 2.93 2.71 2.18 2.96 2.68 3.37 3.24 3.45 2.54 (a) Sketch a scatterplot of the data. Describe the association. (b) Write the equation for the line of best fit. (c) Estimate the GPA for a student that works 17 hours weekly. (d) What is R" for these data? Interpret the result