Convert the data from the chart into the table as follows:

Year	Years past 65 women
1950	15.1
1960	15.9
1970	17.1
1980	18.4
1990	19
2000	19.2
2010	19.4
2020	19.8
2030	20.4

(a) Let us find a linear functionthat models the data, with x equal to the number of years after 1950 and y equal to the number of years the average 65-year-old woman is estimated to live beyond age 65.

Enter the data from the above table in the lists of a graphing utility.

The figure below shows a partial list of the data points.

The equation that fits the data, found using linear regression with a graphing calculator.

Thus, a linear functionthat models the data, rounded to three decimals is.