Dakhlan, A. and Saputra, A. and Hamdani, M Dima Iqbal and Sulastri, Sulastri
Regression Models and Correlation Analysis for predicting Body Weight of Female Ettawa Grade Goat Using Its Body Measurements.
Nexus Academic Publishers.
Abstract
This research aimed to analyse the correlation and regression model and also to find the best regression
model for predicting body weight of female Ettawa Grade (EG) goat using its body measurements. This research
used 41 female EG goat aged 3–4 years. The method used was a survey with data collection by census, all female
EG goats aged 3-4 years in research location were collected. Body weight (BW) data were regressed and correlated
to body measurements (body length = BL, chest girth = CG and shoulder height = SH) using linear and multiple
linear regression using R program. Pearson correlation was used to calculate correlation coefficient (r). Coefficient
of determination (R2), adjusted R2, residual standard error (RSE), Akaike information criterion (AIC), Bayesian
information criterion (BIC) and step wise regression analysis were used to analyse and find the best and parsimonious
model for predicting BW. The results showed that body measurements had positive correlation with the BW, which
CG had the highest correlation (0.838); followed by BL (0.744) and SH (0.543). Results also showed that CG was
the best predictor for BW compared to BL and SH if using single predictor. Combination of CG and BL resulted in
the fittest prediction of BW with model regression BW = -67.86 + 0.87*CG + 0.51*BL with the highest correlation
coefficient (r = 0.87), R2 (0.76), adjusted R2 (0.75) and the lowest RSE (2.795), AIC (205.51) and BIC (212.36). The
results of this study suggested that CG and BL could be used as predictor for body weight and as indicator of indirect
selection to improve genetic merit in body weight of EG goat.
Keywords | Ettawa grade goat, Correlation and regression model analysis, Body weight, Body Measurements
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Regression Models and Correlation Analysis for predicting Body Weight of Female Ettawa Grade Goat Using Its Body Measurements. (deposited 02 Feb 2022 07:18)
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