FIELD: agriculture. SUBSTANCE: method involves putting the factor value of empirical correlation of annual output of hay (thousand metric tons) and annual values of УaaФ global magnetic activity index (nt) for a number of years. The index is time-shifted back 1, 2, 3,Еn years from the hay-making years. As the maximum correlation value factor value exceeds 0.6, the regression equation is formulated for computing its mean error and the calculated and theoretical Student criterion for the correlation factor. If the calculated criterion value is greater than the theoretical value, the equation is good for predicting. The values of annual gross output of hay are predicted by including in the regression equation the value of УaaФ for a year that is earlier than the outlook year by the value of time shift appropriate for this regression equation, and the mean error value is added to the result. EFFECT: higher accuracy. 1 tbl
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Authors
Dates
1996-12-20—Published
1993-06-10—Filed