caa a22 4500 386326533 CHVBK 20180307111654.0 cr unu---uuuuu 161130e198907 xx s 000 0 eng 10.1017/S0014479700014824 doi S0014479700014824 pii (NATIONALLICENCE)cambridge-10.1017/S0014479700014824 Finney D. J. International Statistical Institute Research Centre, 428, Prinses Beatrixlaan, 2270 AZ Voorburg, Netherlands and Department of Statistics, The University, Edinburgh, Scotland Was This in Your Statistics Textbook? VI. Regression and Covariance [Elektronische Daten] [D. J. Finney] This paper concludes the series with comments on regression, covariance analysis, and correlation. The importance of choosing a regression function, whether linear or non-linear, appropriate to problem and data is emphasized and the nature of parameter estimation is outlined. The merits of transformation of variates and the importance of introducing a proper number of parameters are briefly discussed. Common misunderstandings of the meaning of ‘the regression of y on x' for experimental data are related to the analysis of covariance. Regression with two or more regressors increases the computations but does not alter principles. Adjustment of means by use of covariance analysis is a much under-exploited technique in its direct sense; it also offers a computationally convenient way of handling missing observations and related problems. An attempt is made to overcome the confusions of interpretation between the regression equations of y on x and of x on y. A final section warns against misuses of correlation coefficients; the opportunities for misuse are too many for brief summary, yet such coefficients can be helpful when interpreted with care. Copyright © Cambridge University Press 1989 Experimental Agriculture Cambridge University Press 25/3(1989-07), 291-311 0014-4797 25:3<291 1989 25 EAG https://doi.org/10.1017/S0014479700014824 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1017/S0014479700014824 text/html Onlinezugriff via DOI NATIONALLICENCE 100 1- Finney D. J. International Statistical Institute Research Centre, 428, Prinses Beatrixlaan, 2270 AZ Voorburg, Netherlands and Department of Statistics, The University, Edinburgh, Scotland NATIONALLICENCE 773 0- Experimental Agriculture Cambridge University Press 25/3(1989-07), 291-311 0014-4797 25:3<291 1989 25 EAG CC0 http://creativecommons.org/publicdomain/zero/1.0 nationallicence SWISSBIB 386163332 BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-cambridge