APPLICATION OF REGRESSION EQUATIONS IN THE ANALYSIS OF COMPETITlON IN 50AND 100 M SWIMMING RACES OF 1992 OLYMPIC GAMES

Abstract

INTRODUCTION'-The analysis of the performances in 100 m swimming competition was defined by the following race components: start time (first 10 m), mean swimming speed (65 m), turning time (7.5 m in + 7.5 m out) and finish time (last 10 m) (Absaliamov & Timakovoy, 1990; Arellano et al. 1994) Using this references, the data was co1lected from the 1992 Barcelona Olympic Games 50 and 100 m swimming events. All the participants (male and female) were analyzed in their best race. Three S-VHS (60 Hz) cameras were located above the top row of permanent spectator seats. One covered the start and finish time, other the middle of the race and the last recorded the turning phases. The start time was measured from when the starting flash was activated by the starting pistol until the head crossed a interpolated 10m line. Turnin time was measured from when the swimmer's head crossed the 42.5 m line until first contact to the turning wall. Turn-out time was measured from the first contact with the turning wall until the swimmer's head crossed the 57.5 m line. Finish time was measured from when the swimmer's head crossed the 90 m line until the first contact with the finish wall. The mean speed was calculated by taking the average of the swimming speed of the first and second lap (32.5 m and 32.5 m). Our research aim was to find the regression equations between each variable described and the race times. For example: Start Time = (A• Race Time) + B RESULTS -Simple linear prediction equations were calculated for all events, being the results of A (slope) and B (Y-intercep) shown in the next table: Male Female Var. Stroke A B AB ST 50 Fr 0,177 -0,492 0,203 •1,055 MS 50 Fr -0,071 3,728 -0,067 3,618 FT 50 Fr 0,231 -0,268 0,194 0,693 ST 100 Fr 0,093 -0,870 0,054 1,266 MS 100 Fr -0.029 3,391 -0,029 3,363 Tin 100 Fr 0,068 0,648 0,069 0,694 Tout 100 Fr -0,084 -1.119 0,086 -1.181 FT 100 Fr 0,129 -0.859 0,089 1,012 ST Back 0,111 -1,741 0,078 0,500 MS Back -0,025 3,142 -0,023 2,922 Tin Back 0,080 0,102 0,059 1,374 Tout Back 0,085 -1,429 0,045 1,043 FT Back 0,104 0,292 0,168 -3,783 ST Breast 0,070 -0,526 0,072 0,030 MS Breast -0,021 2,802 -0,016 2,490 Tin Breast 0,079 -0,318 0,081 -0,543 Tout Breast 0,065 0,265 0,069 0,200 FT Breast 0,096 0,819 0,122 -0,868 ST Butt 0,073 -0,063 0,076 0,039 MS Butt -0,029 3,393 -0,226 2,988 Tin Butt 0,078 -0.212 0,075 -0,046 Tout Butt 0,091 -0,926 0,073 0,197 FT Butt 0,999 0,673 0,153 -2,603 CONCLUSIONS -The quality and large number of swim-mers analyzed plus the high values of coeficient of correlation obtained between variables, in most cases, enabled us and the coaches to know the recommended times in each phase in relation to the race time, so allowing the swimmers to train specifically in their weakest race part. REFERENCES Absaliamov, & Timakovoy (1990). Aseguramiento Cientifico de la Competici6n Moscu: Vneshtorg. Arellano, R Brown, P. Cappaert, J. , & Nelson, RC. (1994). Analysis of50-, 100-, and 200-m Freestyle Swimmers at the 199201ympic Games. Journal of Applied Biomechanics, 10, 189-199.