Abstract
The article examines the influence of agrometeorological factors on the yield of spring durum wheat in the Orenburg region. Among the agrometeorological factors, eight indicators were chosen empirically, the linear and nonlinear correlation was estimated, including by constructing single-factor regression models. Analysis of multicollinearity by the method of principal components made it possible to select four factors out of eight factors, and the result of analysis of the preliminary model of multiple linear regression using t-statistics made it possible to exclude one more factor from consideration. The resulting model has a high enough accuracy and significance, and can be used in forecasting yields.
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