Keywords
Measurement
Multiple Linear Regression
Nursery School Pupils
Abstract
This research was aimed at carrying out a statistical study on the anthropometric measures (Weight, Height, Age and Sex) of nursery school pupils in Rivers State using Port-Harcourt as a case study.Multiple linear regression was employed as the statistical technique. The measurements of weight being the dependent variablewere recorded to the nearest 0.1kg. The heights of the pupils were measured with the help of calibrated meter rule to the nearest 0.1cm, and the age and sex of the pupils were recorded for the study, all being the independent variables. The assumptions of the model were examined. The analysis showed that there was no multicollinearity and autocorrelation,whereasheteroscedasticity existed in the data. The analysis revealed on a joint basis that there was significant relationship between weights against height, age, sex of nursery school pupils. Further analysis based on the test of individual parameters shows that only height contributed positively on weight of nursery school pupils. The coefficient of determination (R2), which indicated the proportion in Y that was explained by X’s turned out with a percentage of 74.4% showing that there was a strong relationship between the response variable and the explanatory variables. This result entailed that 74.4% (percent) variation in the value of weight was explained by a change in the explanatory variables.
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