Using the data in the table at right, enter the 1968 2,069,258 584,000 1970 2,158,802 708,000 year, the total number of marriages, and the total 1972 2,282,154 845,000 number of divorces into a graphing utility (table). 1974 2,229,667 977,000 1976 2,154,807 1,083,000 1978 2,282,272 1,130,000 1980 2,406,708 1,182,000 1982 2,495,000 1,180,000 Calculate the divorce rate for each year and add 1984 2,487,000 1,155,000 that data column to your 1986 2,400,000 1,159,000 1988 2,389,000 1,183,000 1990 2,448,000 1,175,000 1992 2,362,000 1,215,000 Which type of regression best fits the divorce rate data from 1960 to 1976? If the pattern continued in this way, what would be the predicted divorce rate in 1994? Which type of regression best fits the divorce rate data from 1978 to 1992? Based on the data, what would be the predicted divorce rate for 2020? Extension What do you notice the data trends? Do you find anything about this data? If so, explain. “odd” Candy Experiment
1968 2,069,258 584,000 1970 2,158,802 708,000 1972 2,282,154 845,000 1974 2,229,667 977,000 1976 2,154,807 1,083,000 1978 2,282,272 1,130,000 1980 2,406,708 1,182,000 1982 2,495,000 1,180,000 1984 2,487,000 1,155,000 1986 2,400,000 1,159,000 1988 2,389,000 1,183,000 1990 2,448,000 1,175,000 1992 2,362,000 1,215,000 Using the data in the table at right, enter the year, the total number of marriages, and the total number of divorces into a graphing utility (table). Calculate the divorce rate for each year and add that data column to your Which type of regression best fits the divorce rate data from 1960 to 1976? If the pattern continued in this way, what would be the predicted divorce rate in 1994? Which type of regression best fits the divorce rate data from 1978 to 1992? Based on the data, what would be the predicted divorce rate for 2020? Extension What do you notice the data trends? Do you find anything “odd” about this data? If so, explain. Candy Experiment
mip-a2-9-curve-best-fit.docx