1984
DOI: 10.1139/z84-279
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Computation and uses of central trend lines

Abstract: A bivariate array of naturally variable observations can take many different forms, depending on the relative lengths of the measurement units used. Each of these has a different central trend or major axis. In a standard presentation the major axis has a slope of ± 1 obtained when 1 standard deviation (s) of each variate, Y and X, occupies the same distance on its coordinate axis. With any other presentation the position of the standard trend is indicated by a line whose slope is the ratio of the standard dev… Show more

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Cited by 292 publications
(204 citation statements)
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“…The r 2 value of the ordinary linear regression ( on H ) was so high ( , ) that the slope of the 2 J rp 0.87 P ! .0001 reduced major axis, or geometric mean regression (GMR), was not very different from the linear regression (Ricker 1984 fig. 2C, 2D).…”
Section: Overall Relationshipsmentioning
confidence: 85%
“…The r 2 value of the ordinary linear regression ( on H ) was so high ( , ) that the slope of the 2 J rp 0.87 P ! .0001 reduced major axis, or geometric mean regression (GMR), was not very different from the linear regression (Ricker 1984 fig. 2C, 2D).…”
Section: Overall Relationshipsmentioning
confidence: 85%
“…Slope comparisons between orders were not possible due to small sample sizes. The reduced major axis regression was chosen because error variance is assumed to exist for both variables and the ratio of these variances is also assumed to be proportional to the population variances (Ricker, 1984;Rayner, 1985;Plotnick, 1989;Harvey and Krebs, 1990). The expected line of isometry between convergence and binocular visual field overlap has a slope of 2.…”
Section: Discussionmentioning
confidence: 99%
“…Univariate statistics used are described in standard textbooks (Neter and Wasserman, 1974 log Y (linearly) regressed on log X and the inverse of that derived from regressing log X on log Y (Ricker, 1984). We employed all of these methods, although we present only linear and GMR estimates and relied most heavily on the latter.…”
Section: Statistical Analysesmentioning
confidence: 99%