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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 55.00 1992 49.12 54.65 1996 48.74 54.50 2000 48.30 53.83 The men's linear regression model is 2004 48.17 53.84 y = 50.1233 – 0.0948x 2008 47.21 53.12 (Round regression coefficients to three decimal places as needed.)

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 55.00 1992 49.12 54.65 1996 48.74 54.50 2000 48.30 53.83 The men's linear regression model is 2004 48.17 53.84 y = 50.1233 – 0.0948x 2008 47.21 53.12 (Round regression coefficients to three decimal places as needed.)

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter4: Equations Of Linear Functions
Section4.6: Regression And Median-fit Lines
Problem 5PPS
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100-Meter Freestyle 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? Men Women 1980 50.40 54.79 1984 49.80 55.92 1988 48.63 55.00 1992 49.12 54.65 1996 48.74 54.50 2000 48.30 53.83 The men's linear regression model is 2004 48.17 53.84 y = 50.1233 – 0.0948x 2008 47.21 53.12 (Round regression coefficients to three decimal places as needed.)
Transcribed Image Text:100-Meter Freestyle 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? Men Women 1980 50.40 54.79 1984 49.80 55.92 1988 48.63 55.00 1992 49.12 54.65 1996 48.74 54.50 2000 48.30 53.83 The men's linear regression model is 2004 48.17 53.84 y = 50.1233 – 0.0948x 2008 47.21 53.12 (Round regression coefficients to three decimal places as needed.)
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100-Meter Freestyle 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 Men Women 1980 50.40 54.79 1984 49.80 55.92 1988 48.63 55.00 eventually catch up with the men? 1992 49.12 54.65 1996 48.74 54.50 2000 48.30 53.83 2004 48.17 53.84 The men's linear regression model is - 0.095x + 50.123 y = 2008 47.21 53.12 (Round regression coefficients to three decimal places as needed.) The women's linear regression model is y = (Round regression coefficients to three decimal places as needed.)
Transcribed Image Text:100-Meter Freestyle 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 Men Women 1980 50.40 54.79 1984 49.80 55.92 1988 48.63 55.00 eventually catch up with the men? 1992 49.12 54.65 1996 48.74 54.50 2000 48.30 53.83 2004 48.17 53.84 The men's linear regression model is - 0.095x + 50.123 y = 2008 47.21 53.12 (Round regression coefficients to three decimal places as needed.) The women's linear regression model is y = (Round regression coefficients to three decimal places as needed.)
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