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Table 3 Regression equations developed to estimate weight from linear body measurements of Shami goats

From: Some body measurements as a management tool for Shami goats raised in subtropical areas in Egypt

Groups Model R R 2 Adj. R2 S.E R2 change F change Sig. F change
Total 1 0.917a 0.841 0.835 4.34079 0.841 147.846 0.000
2 0.961b 0.923 0.918 3.06535 0.083 29.148 0.000
Model summary Regression equations
a. Predictors: (constant), BL LBW = − 200939.582 + 0.970* BL
b. Predictors: (constant), BL, HG LBW = − 46.726 + 0.542* BL + 0.521* HG
Male 1 0.979a 0.958 0.955 2.52153 0.958 294.891 0.000
2 0.992b 0.984 0.982 1.60140 0.027 20.231 0.001
Model summary Regression equations
a. Predictors: (constant), HG LBW = − 41.864 + .981* HG
b. Predictors: (constant), HG, NC LBW = − 35.829 + 0.611* HG + 0.637* NC
Female 1 0.947a 0.897 0.889 3.23887 0.897 113.568 0.000
2 0.966b 0.933 0.922 2.72650 0.036 6.345 0.027
Model summary Prediction equations
a. Predictors: (constant), BL LBW = − 32.589 + 0.884* BL
b. Predictors: (constant), BL, PG LBW = − 48.080 + 0.675* BL + 0.347* PG
  1. Superscripts a and b mean within rows are significantly different (P < 0.05)
  2. *. Correlation is significant at the 0.05 level (2-tailed)