LINEAR REGRESSION ESTIMATIONS OF JENNYʼS RELATIVE EFFECTIVENESS OF STATE FACTORS EQUATION

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Abstract
Linear regression equations are suggested for use in constructing approximations of Jenny's (1961) Relative Effectiveness of State Factors Equation. Linear regression equations are easy to construct; describe segments of a curve for soil properties plotted against a state factor; and yield additional statistical information on variations or data fit to the factor, such as correlation coefficient. The relative effectiveness is indicated by the slope of the regression equation and the correlation coefficient. If the slope is zero, no influence of the state factor on the observed soil property is indicated. A high correlation but small slope of the regression line indicates small but important effects of the state factor on the observed soil property. A large slope and poor correlation indicate an influence on the variation, but other factors influence variation or in effect polygenetic influences also. The method is an objective and graphical approach that should aid in depicting the influence of state factors on soil properties. © Williams & Wilkins 1987. All Rights Reserved.

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