Construing Simple Correlation and Regression using Students’ Test Scores and Three Independent Matrices in an Epidemiology Class in Nigeria.

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Date

2022

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Faculty of Veterinary Medicine, University of Ibadan

Abstract

Correlation and regression are important statistical tools used in the analysis of relationships between continuous dependent and independent variables. The understanding of the basic principles and behind the scene calculations will therefore go a long way in the correct interpretation and application of this statistics. This study analysed the strength and nature of relationship between test scores and age, weight and height of students of Veterinary Public Health in a Veterinary school in Nigeria. Data were collected from the students at the time of writing a particular test, the data were thereafter used to calculate the Pearson correlation coefficient and to arrive at the regression equation using established formulae and calculating machines. Correlation and regression statistical analysis were used to analyse the data from the study. Other descriptive statistics were done using Fast Statistics version 2 and IBM SPSS Statistics 19. The three independent variables were directly related to the students’ test scores. Weight and height had intermediate relationship while age is weakly related to test scores. The test scores were predicted for two randomly chosen extreme values of the 3 matrices used for the study. The predicted test scores indicated that the higher the weight, height and age of students the higher their test scores. The right application of correlation and regression could be a veritable tool in Veterinary research to statistically evaluate the relationship between variables and predict dependent variables for the purpose of preparation, projection and planning.

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Keywords

Correlation, regression, scores, age, height, sex

Citation

Oludairo, O. O., Aiyedun, J. O., Daodu, O. B., Kwaga, J. K. P. (2022): Construing Simple Correlation and Regression using Students’ Test Scores and Three Independent Matrices in an Epidemiology Class in Nigeria. Tropical Veterinarian, 40: (1&II) 16-30.

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