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- Linear and curvilinear are two terms that describe the shape of a curve or a relationship between variables. Linear means that the ratio of change is constant, while curvilinear means that the ratio of change is not constant1. Curvilinear curves can be smooth or have discontinuities, and they can be modeled by either linear or nonlinear equations2.Learn more:✕This summary was generated using AI based on multiple online sources. To view the original source information, use the "Learn more" links.
Correlation is called linear if the ratio of change is constant while it is said to be Curvilinear if the ratio of change is not constant.
byjus.com/commerce/difference-between-linear-an…While the terms linear and nonlinear have standard definitions in statistics, the term curvilinear does not have a standard meaning. It generally is used to describe a curve that is smooth (no discontinuities) but the underlying mathematical model could be either linear or nonlinear.www.graphpad.com/support/faq/what-does-nonline… - People also ask
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Jan 8, 2024 · Just as linear regression assumes that the relationship you are fitting a straight line to is linear, curvilinear regression assumes that you are fitting the appropriate kind of curve to your data.
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