Tests about R multivariate simple linear models
Jose A. Diaz-Garcia, Oscar Alejandro Martinez-Jaime
TL;DR
This paper investigates hypothesis testing methods for multivariate simple linear models in R, focusing on parallelism and intersection of regression lines, with practical application in agricultural entomology.
Contribution
It develops new tests for parallelism and intersection of regression lines in multivariate linear models within R, expanding existing statistical tools.
Findings
New tests for parallelism of regression lines
Methods for testing common intercepts and fixed intersection points
Application demonstrated in agricultural entomology
Abstract
Hypothesis about the parallelism of the regression lines in R multivariate simple linear models are studied in this paper. Tests on common intercept and sets of lines intersected at a fixed value, are also developed. An application in an agricultural entomology context is provided.
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Taxonomy
TopicsSpectroscopy and Chemometric Analyses · Leaf Properties and Growth Measurement · Genetics and Plant Breeding