![]() Hence, for 2 individuals with the same 2.4-km run time requirement, female personnel would be required to run approximately 5 shuttles further than male personnel. When gender was included as a predictor variable for estimating MSRT performance from 2.4-km run speed, the male and female regression equations had a constant slope (no interaction term) but a different intercept (main effect for gender)-see Equation 4. Using OLP regression (Equation 1), 58 shuttles would equate to a 2.4-km run time of 12:43 min:s, irrespective of the choice of the dependent variable. This makes the choice of the dependent variable in the ordinary least squares regression analysis of critical importance, and the difference between the two methods will become increasingly divergent as the dependant variable score moves further from the mean value of the chosen dependant variable. If ordinary least squares regression was used to derive the estimated 2.4-km run time for an individual who had just achieved 58 shuttles on the MSRT (Equation 3), the result would be 31 seconds quicker at 12:29 min:s. If ordinary least squares regression was used to derive the estimated MSRT score for an individual who had just run 2.4 km in 13:00 min:s (using Equation 2), the result would be 58 shuttles (level 7 and 8 shuttles). The data in Table I were derived using OLP regression analysis in contrast to the commonly used approach of ordinary least squares regression.^^ OLP regression assumes random error is present in both the dependent and independent variable, producing a common linear equation that gives identical results when predicting y on x and x on y.^^'^'^ This is an important distinction from a practical perspective. ' ' Therefore, it is not surprising that there was a strong relationship between performance on the MSRT and 2.4-km run performance in this study ( - = 0.92), supporting the use of an MSRT as an alternative test for assessing aerobic fitness in military persormel. (2) r = 0.92 (p 0.9) with both MSRT performance and running distances ranging from 2.4 to 10 km. MSRT performance (total shuttles) = (8.879 X 2.4-km run speed iktrt h j ] - 40.9.5 MSRT performance (total shuttles = ("9.913 X 2.4-km run speed [km Using ordinary least squares regression, the linear relationships between the 2 tests are described by Equations 2 and 3. OLP, ordinary least product- 95 % CI 95 % nredicti coiitidence interval (CI). The relationship between 2.4-km run speed and MSRT perfoimance (n = 156). The 2.4-km run was perfomied on surfaced road.s and tracks around the training estabhshtnent and the MSRT in a gymnasiutn^ Ordinary least product regression was used to describe the relationship between average 2.4-km running speed (km h ') and the total number of shuttles completed on the U K version of the MSRT (/įIGURE 1. This study quantified the relationship between these two tests in 156 aiiny recruits and officer cadets (100 men and 56 women) to ensure equivalence in the required aerobtc fitness standards. shuttle run test (MSRT) to as.sess the aerobic fitness of their personnel. Biizon, PhDf ABSTRACT In the United Kingdom, all branches of the armed forces use 2.4-km run time and/or the 20-m mulnstage. Biacker, PhD* Victoria L Richmond, PhD* Mark P. Relationship Between the 2.4-km Run and Multistage Shuttle Run Test Performance in Military Personnel David M.
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