Regression equation of linear kinematical variables with the performance at different phases of hang style technique in long jump

The Purpose of the study was to develop Regression Equation of Linear Kinematical Variables with the Performance at Different Phases of Hang Style Technique in Long Jump. Selection of Subjects: Ten male (national/inter university level) long jumpers of from Banaras Hindu University Varanasi and Diesel Locomotive Workshop Varanasi were selected and their age ranging between 16 to 28 year. Selection of Variables: Anthropometrical Variables: Height, Weight, Hand Length, Fore Arm Length, Upper Arm Length, Fore Leg Length, Upper Leg Length and Foot Length. Linear Kinematical Variables: Height of centre of gravity of the body at take-off of hang style technique in long jump, Height of centre of gravity of the body during flight of hang style technique in long jump, Height of centre of gravity of the body at landing of hang style technique in long jump, Highest performance of the subject in hang style technique in long jump, Length of last stride before take-off of hang style technique in long jump, and speed of the subject (take-off to landing) of hang style technique in long jump. Criterion Measures: Age of the Subject was measured in Years as Chronological Age, Height of the subject was measured by Anthropometric Rod in meter, Weight of the subject was measured by Portable Weighing Machine in kilogram, Different lengths of body parts was measured with help of Sliding Caliper/Steel Tape in Cms/Inches, Height of centre of gravity of different phases of hang style technique in long jump was measured by segmentation method as suggested by Games G. Hay in meter, Speed of subject of hang style technique in long jump was measured by Cinematography in meter/second, & Length of last Stride was measured by Cinematography in meter, highest performance of the subject was measured by Non Stretchable Tape in meter. Max Traq 2 D/Silicon coach pro-7 motion analysis software was use for Kinematical analysis of hang style technique in long jump. The centre of gravity of the subject at the time of different phases of hang style technique by segmentation method as suggested by Games G. Hay was recorded. Statistical Technique: To kinematical analyze of hang style technique in long jump and to determine the key components of hang style technique in long jump, descriptive statistic was used. To find out correlation between dependent variable (long jump performance) and independent variables (selected linear kinematical variables) of different phases of hang style technique in long jump, Pearson correlation was used. To find out regression equation between Dependent variable (long jump performance) and independent variables (selected linear kinematical variables) of different phases of hang style technique in long jump, Step Wise Method was used. The level of significance was set at 0.05. The data was analyzed by applying SPSS17-Version. Conclusions: Mean, standard deviation, scores of linear kinematics variables (in meter) Flight in hang style Technique have been found as follow: Length of last stride (1.65 ±.12), Speed of the subjects (1.04 ±.105), Performance of the subject (6.09 ±.13), Centre of Gravity (H1) at Take-off in hang style technique (1.77 ±.15), Centre of Gravity (H2) During Flight in Hang style technique (2.51±.36) and Centre of Gravity (H3) at landing in hang style technique (.718 ±.14) respectively whereas standard Error and Range of scores was found as follow: Length of last stride (.04 &.38), Speed of the subjects (1.03 & 7.98), Performance of the subject (.69 & 1.40), Centre of Gravity (H1) at Take-off in hang style technique (.046 &.51), Centre of Gravity (H2) during flight in hang style technique (.11 &.94) & Centre of Gravity (H3) at landing in hang style technique (.04 &.42) respectively. Significant correlation was found between speed of the subject (meter/second) with long Jump Performance of subjects in case of linear kinematic variables. Significant correlation was also found between H3 (Height of Centre of Gravity of the Body at Landing) with long Jump Performance of subjects in case of linear kinematic variables. The regression equation for linear kinematic variable i.e. Speed of the Subjects (in meter/second) is quite reliable as the value of R2 is (.992). At the same time the regression coefficient in model (I) is moderately significant and therefore it may be interpreted that the variable selected in the model (I) viz; Speed of the Subjects in meter/second is quite valid in estimating the Long jump performance. The regression equation for linear kinematic variable i.e. Height of Centre of Gravity of the Body at landing is quite reliable as the value of R2 is (.696). At the same time the regression coefficient in model (I) is moderately significant and therefore it may be interpreted that the variable selected in the model (I) viz; Height of Centre of Gravity of the Body at Landing is quite valid in estimating the long jump performance.