
doi: 10.1038/167367a0
pmid: 14806520
THE “simplified” method of calculating a linear regression put forward by Aldridge, Berry and Davies1 is the well-known method of orthogonal polynomials which was put on a practical working basis by Fisher2,3. Unfortunately, in bringing this procedure again to the attention of research workers, the authors reproduce a misapprehension when they deduce that “whereas it is considered that four points are a minimum for determining the slope of the line, the number of observations should always be even”, because observations at the centre point of an odd number of values of the independent variable contribute no information to the linear regression.
statistics, Statistics as Topic, Linear Models, Humans
statistics, Statistics as Topic, Linear Models, Humans
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 3 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
