Table 5.

Regression models for piglet live weight gain: exp. 2

Response, Y	n	Regression model1, 2, 3	R 2 (4)
Live weight gain days 3 to 10, g/d	41	2.62 ± 18.1 + 0.26 ± 0.02 × milk intake, g/d	0.81
	37	−10.7 ± 19.0 + 2.39 ± 0.90 × milk protein intake, g/d + 3.02 ± 0.82 × milk lactose intake, g/d	0.82
Live weight gain days 10 to 17, g/d	51	−112 ± 23.4 + 27.3 ± 4.69 × milk protein, % + 0.21 ± 0.01 × milk intake, g/d	0.85
	45	1.23 ± 14.4 + 2.52 ± 0.38 × milk protein intake, g/d + 2.04 ± 0.35 × milk lactose intake, g/d	0.84
Live weight gain days 17 to 25, g/d	44	−151 ± 36.9 + 23.2 ± 8.12 × milk protein, % + 0.25 ± 0.02 × milk intake, g/d	0.87
	41	−58.2 ± 22.1 + 2.16 ± 0.65 × milk protein intake, g/d + 3.06 ± 0.73 × milk lactose intake, g/d	0.87
Live weight gain days 3 to 25, g/d	28	−70.2 ± 45.1 + 14.1 ± 6.3 × milk protein, % + 0.24 ± 0.02 × milk intake, g/d	0.89
	28	2.60 ± 22.9 + 1.93 ± 0.50 × milk protein intake, g/d + 2.75 ± 0.33 × milk lactose intake, g/d	0.87

¹The model was $Y=b_0+b_1{X}_1\dots +b_i{X}_i+e$, where regression coefficients, b_1–i, were given as least squared estimates ± standard error to X_1–i.

²Two regression models were given for each response variable. The first model allowed the inclusion of milk intake and milk constituents, and the second equation allowed the inclusion of intake of milk nutrients. Significant predictors in the regression models were determined through backward elimination. All variables included in the models were significant at a 0.05-level.

³The milk nutrient concentrations were the average concentrations based on milk samples collected on days 3, 10, 17, and 25 in lactation. The milk intake was measured by the deuterium dilution technique.

⁴In models with more than one predictor variable, the adjusted R² was given. The R² indicates how much of the variation in the response is explained by the included variables, and the more of the variation that is explained, the better.