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- W308887671 abstract "This chapter discusses straight-line relationships and regression. The statistical use of the word regression is something of an historical anomaly, originating with the work of Galton (1822–1911) in his study of the relationship between the height of parents and that of their offspring. Although tall parents tend to produce tall children, the average height of those children tends to be lower than that of the parents, exhibiting a regression towards the average height of the general population under observation. A nonlinear model that lends itself to transformation into linear form is described as being intrinsically linear. Fundamentally exact relationships in which the observed experimental data fail to follow the model exactly is solely because of measurement or observation errors in one or both of the variables under study. A considerable amount of work has been published over the past 10–20 years on the study of individual data points in regression problems, with a view to identifying observations that are influential in the sense that they have an unusually large effect on the regression parameter estimates." @default.
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- W308887671 date "1991-01-01" @default.
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- W308887671 title "Regression I: straight-line relationships" @default.
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- W308887671 doi "https://doi.org/10.1016/b978-0-7506-1345-3.50011-x" @default.
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