Relationship between BMI and ROM baseline in sports field

and interpreting research

INTRODUCTION
In the sports field, there is a need to have a specific control over the weight and mass, because the BMI of an athlete is somehow affected to the running and range of motion (ROM). The entire study
is also shed a light upon views of selected respondents towards a ROM baseline. Also, Donti and et.al., (2021) stated in their study that left leg is a side of choice of own strength and balancing needs either it
is takeoff foot from jumping or front leg of a baseball swing to stop rotation. Thus, it reflected dominant leg is somehow related to ROM baseline because it reflected how an individual stretch their legs
pertaining to baseline. Also, the research question for the study is such that what is the difference between BMI and ROM bassline? Moreover, the rationale for choosing this study is such that it will help to
increase the knowledge and also derive good understanding pertaining to quantitative study so that effective results can be generated (Vassalle and et.al., 2020).
METHODS
Study design: For the present study, quantitative study design has been taken in which facts and figures used. In order to interpret the result, SPSS software has been used where relevant test used in
order to examine the relationship between the variables. Along with this, descriptive analysis has been performed where scholar interpret the results pertaining to central of tendency (Dodds and Hess, 2020).
Participants: For the present study, around 20 respondents has been selected where all the personal information has been used which includes age, height mass. They all are selected by the means of
random sampling method in which all the respondents are selected randomly and the source of contact is email where they are able to answer the question as well.
Procedure: For the present study, height is measured for selected respondents by the means of studyometer and mass is used by the means of weighting machine and then BMI is calculated that can be
used for further analysis (Budianto, 2020).
Statistical analysis: It has been analysed that for the present study, statistical analysis has been performed and for that SPSS software used which in turn assist to determine the views of majority of
the selected respondents. In addition to this, inferential statistic has been performed which assists to derive better outcome and also examine the result by considering he confidence level of 95%.
RESULTS
Descriptive statistics
The aim of the statistical analysis that would be performed here is to study the relationship between Body Mass Index (BMI) and ROM baseline. Therefore, the hypothesis for this research is as follows:
H0: There is no statistical significance between BMI and ROM baseline.
H1: There is statistical significance between BMI and ROM baseline.
Statistics

Condition
Control
(Cont) or
Foam Roll
(FR)
Dominant leg (kick a ball
with)
Height (cm) M
a
s
s
(
k
g
)
BMI Sex Age ROM Baseline 0
M
i
n
p
o
s
t
F
R
Post FR 5 Post FR 10
N Valid 20 20 20 20 20 20 20 20 20 20 20
Missing 0 0 0 0 0 0 0 0 0 0 0
Mean 1.5000 1.8500 171.2705
6
9
.
7
5
0
0
15.6500 1.2500 19.5000 7.4500
8
.
3
6
0
0
7.6850 7.2750
Median 1.5000 2.0000 174.2500
6
9
.
5
0
0
0
19.5000 1.0000 19.0000 6.0000
8
.
0
0
0
0
8.0000 6.7500
Mode 1.00a 2.00 175.00
6
2
.
0
0
.00 1.00 18.00 5.00a
8
.
0
0
a
3.00a 4.00a