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XVIII.—Tests of Significance of the Differences between Regression Coefficients derived from Two Sets of Correlated Variates

Published online by Cambridge University Press:  15 September 2014

F. Yates
Affiliation:
Rothamsted Experimental Station
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Extract

The calculation of the partial regression of different, but correlated, dependent variates on the same set of independent variates is of common occurrence. Frequently, also, the differences between the resultant regression coefficients are of interest, and tests of significance for these differences are consequently required. In the classical wheat experiments on Broadbalk field at Rothamsted, for example, the influence of rainfall on yield has been investigated for the various plots, which receive different manurial treatments (Fisher, 1924). An extension of the method of partial regressions was used, which analytically amounted to the evaluation, for each plot separately, of the regression of yield on quantities representing the amount and distribution of rain in each year, these quantities being the same for all plots, since the plots were situated on the same field. One of the most interesting aspects of these results was the differences which were revealed between the effects of rainfall on the differently manured plots. (See also Cochran, 1935.)

Type
Proceedings
Copyright
Copyright © Royal Society of Edinburgh 1940

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References

References to Literature

Cochran, W. G., 1935. “A Note on the Influence on the Yield of Cereals in Relation to Manurial Treatment,” Journ. Agric. Sci., vol. xxv, pp. 510522.CrossRefGoogle Scholar
Fisher, R. A., 1924. “The Influence of Rainfall on the Yield of Wheat at Rothamsted,” Phil. Trans. Roy. Soc. London, B, vol. ccxiii, pp. 89142.Google Scholar
Yates, F., and Watson, D. J., 1939. “Factors influencing the Percentage of Nitrogen in the Barley Grain of Hoosfield,” Journ. Agric. Sci., vol. xxix (in the press).Google Scholar