When linear regression fails to fit a straight line to the data,what method can be applied to determine the relationship between two variables?

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Quizplus · Accepted Answer

When linear regression fails to fit a straight line to the data, the best method to determine the relationship between two variables is nonlinear regression. Nonlinear regression is a method of finding the best fit curve for a set of data points by allowing the functional form of the relationship between the variables to be more complex than a simple straight line. Other options like coefficient determination, expansion of the sum, and specimen pairing may not be effective in determining the relationship between two variables when linear regression fails.

When Linear Regression Fails to Fit a Straight Line to the Data,what