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Definitions from the WebCurvilinear RegressionDefinition:Curvilinear regression is a statistical analysis technique used to model and analyze the relationship between two variables that exhibit a curved or nonlinear pattern. It is an extension of linear regression, enabling the examination of non-linear associations. Senses:Sense 1 (Statistical Analysis):In statistics, curvilinear regression refers to the process of fitting a curve to a set of data points, allowing for the examination of non-linear relationships between variables. Sense 2 (Mathematics):In mathematics, curvilinear regression involves finding the best-fitting curve to a given set of data points, aiming to determine the mathematical relationship between variables. Usages:Usage 1 (Statistical Analysis):Curvilinear regression is commonly used in social sciences to analyze relationships between variables that do not follow a linear pattern, such as studying the impact of age on cognitive abilities. Sample Sentence: The researcher used curvilinear regression to examine how hours spent studying influenced test scores, and discovered a U-shaped relationship between the variables. Usage 2 (Mathematics):Curvilinear regression helps mathematicians determine the most accurate mathematical equation that represents the relationship between two variables, even when the pattern is not linear. Sample Sentence: By employing curvilinear regression, the mathematician established a quadratic equation to describe the relationship between time and distance traveled. Related Products:Explore further insights into curvilinear regression with these related products: | ||||
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