The plot includes the orthogonal regression line, which represents the orthogonal regression equation.
Fitting an Orthogonal Regression Using Principal Components Analysis (Example)
Fitting an Orthogonal Regression Using Principal Components Analysis
Orthogonal regression examines the linear relationship between two continuous variables: one response (Y) and one predictor (X).
Use the plot and the fitted line to assess whether the orthogonal regression equation is a good fit for the data.
Requêtes fréquentes français :1-200, -1k, -2k, -3k, -4k, -5k, -7k, -10k, -20k, -40k, -100k, -200k, -500k, -1000k,
Requêtes fréquentes anglais :1-200, -1k, -2k, -3k, -4k, -5k, -7k, -10k, -20k, -40k, -100k, -200k, -500k, -1000k,
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