Abstract
The work investigates and demonstrates the analytical capabilities of statistical methods in the development of new varieties of wheat used for the production of pasta. By using examples of Kostanay, Pavlodar, Akmola, North-Kazakhstan region (NKR) and Aktobe regions, foridentifying significant factors, there were constructed regression equations due to initial factors, on the main components, according to the panel data. Based on the analysis of various regression models, the strengths of the relationship between the number indicators of the grain quality there was found soft and hard wheat varieties (Mereke 70, Tselina 50, Ertis 97, Astana 2, Astana, Aktobe39, Baiterek), taking into account the peculiarities of grain production in this area.
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