**4. Conclusions**

Thus, as a result of building a multiple econometric model of the dependence of biogas yield from different types of agricultural crops on the proportion of dry substance in these crops, and the potential production of methane from them, we obtained the regression equation of the following type:

$$y = -53.61 + 0.3x\_1 + 1.13x\_2$$

In the regression equation, a<sup>1</sup> = 0.33, which means that when the share of dry matter in crops increases by 1 kg/t, the biogas yield will increase by 0.33 m2/t; a<sup>2</sup> = 1.13 m3/t means that when the share of methane in biogas increases by 1 m3/t, the biogas yield will increase by 1.13 m3/t.

Since, a<sup>1</sup> and a<sup>2</sup> are greater than zero, the relationship between the effective sign and the factors influencing it is direct. From this, the coefficient of elasticity E<sup>1</sup> = 0.43 means that with an increase in the share of dry substance in agricultural crops of 1%, the yield of biogas will increase by 0.43%; E<sup>2</sup> = 0.67 means that with an increase in the share of methane in biogas of 1%, the yield of biogas will increase by 0.67%.

Estimation of the density of the relationship between the factors and the effective sign showed the following results:
