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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)