ST3002 preassessment
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School
Zane State College *
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Course
STAT3001
Subject
Medicine
Date
Apr 3, 2024
Type
docx
Pages
3
Uploaded by PresidentDovePerson691
Correlation
1.
Rank the six correlations provided from lowest correlation to highest correlation. Include a 2- to 3-sentence explanation for why you ranked these the way you did.
Scatter plot rankings from lowest to highest correlation
between resting metabolic rate and anthropometric
parameters
Scatter plot
variables
r value
p-value
Ranking
(Types of
training)
Feat Mass
0.329
=0.034
1- weak(low) positive
Height
0.361
=0.019
2- weak(low) positive
Femur Breadth
0.535
<0.001
3- moderate positive
Body Weight
0.542
<0.001
4-moderate positive
Skeletal Muscle Mass
0.553
<0.001
5-moderate positive
Feat Free Mass
0.563
<0.001
6-moderate positive
The rankings are based on lowest to highest ranking correlations as sizes of correlations based upon the r values within the 6 scatter plots. Correlations range from lowest at .30 to .50(low positive) to moderate being .50 to 0.70. No negative relationships were noted. Mukaka et al,. (2012) “The stronger the correlation, the closer the correlation coefficient comes to ±1.” 2.
Choose one of the six graphs and compute the r-squared value. Interpret this value in terms of variation.
Scatter Plot
Variable
r
P value
r2
Skeletal Muscle Mass
0.553
<0.001
0.31
The r squared value of the Skeletal Muscle Mass is 0.31 or 32% which in turn shows a 31% variability within the RMR is accounted for by the Skeletal Muscle Mass. According to Hamilton et al,. (2015), “An R
2
of 1.0 indicates that the data perfectly fit the linear model. Any R
2
value less than 1.0 indicates that at least some variability in the data cannot be accounted for by the model (e.g., an R
2
of 0.5 indicates that 50% of the variability in the outcome data cannot be explained by the model).”
References
Hamilton, D. F., Ghert, M., & W. Simpson, H. R. (2015). Interpreting regression
models in clinical outcome studies. Bone & Joint Research, 4(9), 152-153. https://doi.org/10.1302/2046-3758.49.2000571
Mukaka, M. (2012). A guide to appropriate use of Correlation coefficient in medical research. Malawi Medical Journal : The Journal of Medical Association
of Malawi
, 24
(3), 69-71. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3576830/
Slavic, D., Jakovljevic, D. K., Zubnar, A., Tapavicki, B., Aleksandric, T., & Drapsin, M. (2019). Effects of different types of training on weight loss. Medicinski Pregled/Medical Review, 72(9/10), 272–279. https://doi.org/10.2298/MPNS1910272S
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