Use a graphing calculator to find a linear regression model for the men's 100- meter freestyle data given in the table on the right, where x is years since 1980 and y is winning time (in seconds). Do the same for the women's 100-meter freestyle data. Do these models indicate that the women will eventually catch up with the men? 100-Meter Freestyle Men Women 1980 50.40 54.79 1984 49.80 55.92 1988 48.63 54.93 The men's linear regression model is 1992 49.02 54.65 y=-0.094+50.107 1996 48.74 54.58 (Round regression coefficients to three decimal places as needed.) 2000 48.48 53.83 2004 48.17 53.84 The women's linear regression model is 2008 47.21 53.12 y= (Round regression coefficients to three decimal places as needed.) Based on the regression models, will the women's times eventually catch up with the men's times? Yes No