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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.)

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
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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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