Question 1

18. Write a sentence describing the slope of the line in terms of the data. 19. IF the men's median salary for 1989 were $30,486, what median annual income would you expect for women? 20. Use the results of your analysis to comment on this statement taken from the Milwaukee Journal, February 2, 1988: " The gap (between men's and women's pay) has been steadily narrowing since the 1979 when the Bureau of Labor Statistics first began collecting data on the wage differences by sex." Using annual incomes from the above, enter the data as ordered pairs with the years as the x- coordinates and men's salaries as the y-coordinates. 21. Find and graph the equation of the regression line. 22. Write a sentence describing the slope of the line in terms of the data. 23. Edit the data by replacing the y-coordinates with the women's salaries. Without clearing the previous graph, find and graph the regression line. 24. Write a sentence describing the slope of the line in terms of the data. 25. How are the regression lines related? Explain.Use the following data to answer the following questions 16-25. The median annual incomes of year round full-time workers 25 years old and over for men and women are given In the following table. Enter the data as ordered pairs with the men's salaries as the x-coordinates and the women's salaries as the y-coordinates. Graphs here Year | Men Women 1970 9.521 5.616 1971 10.038 5.872 1972 11,148 6.331 1973 12.088 6,791 1974 12.786 7.370 1975 13.821 8.117 1976 14.732 8.728 1977 | 15.726 9.257 1978 16.882 10.121 1979 18.711 11.071 1980 20.297 12.156 1981 21.689 13.259 1982 22.857 14.477 1983 23.891 15.292 1984 25.497 16.169 1985 26.365 |17.124 1986 27.337 17.675 1987 28.313 18.531 16. Draw the scatter plot with the regression line. 17. Find the equation of the regression line. How well does the line represent the data