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The table shows the salary in thousands of dollars of a retail sales manager from 1990-2020. Use the table to answer questions #4-8. 2. Multiple Choice: Which equation represents the line of best fit ? Year 1990 1995 2000 2005 2010 2015 2020 Salary (in thousands of $) 42.1 45.5 48.9 52.0 55.7 59.1 64.6 3. Plot the data on a scatter plot. 4. Find the equation from the line of best fit. 5. What type of correlation is shown? Estimate the correlation coefficient. a. y = =x+4 c. y = -2x + 1 6. Predict the salary of a retail sales manager in the year 2028. b. y = -0.5x +1 d.y = =x-4 The table shows school attendance as the temperature outside drops. Use the table to answer questions #12-16. Temperature (in F) 62 55 51 470 42 36 29 School Attendance 86.2 31.0 79.6 71.3 70.7 68.3 65.2 (in percentage) 13 2. 13. Create a scatterplot of the data. 14. Find the line of best fit. 15. Find the residual for each point on your graph. (Hint: Create a table) 16. Create chart of your predicted values for your data. ( Do le beture 15 ) 1. What type of correlation is shown? 17. Create a residual plot. 18. What type of fit is your residual plot? 12. Identify whether a causation or a correlation. Give an explanation to defend your decision. 9. What is spurious correlation? a) The height of a toddler and its weight 10. Define the independent and the dependent variables. b) The age of a person and the number of mistakes made 11. Give a scenario that identifies a common cause. It must be different than the ones given in the video and homework. c) The amount of sleep you get and the amount of caffeine you drink