Summary When both variables are subject to error, a straight line may be fitted by minimizing the sum of squared distances of the observed points to the line. Approximate distributions of the slope of this line and of the angle it makes to one axis are given when the errors are normal, uncorrelated, and with equal variances. These distributions and corresponding ones for the line fitted by ordinary least squares are found by making the model equivalent to a model of simultaneous equations in econometrics.
No takes yet. Share an insight, caveat, or question.
T. W. Anderson (1976) studied this question.
Synapse has enriched 4 closely related papers on similar clinical questions. Consider them for comparative context: