Which of the following is NOT true for the rank correlation test? Question content area bottom Part 1 Choose the correct answer below. A. The nonparametric method of rank correlation can be used in a wider variety of circumstances than the parametric method of linear correlation. B. The method of rank correlation is more efficient than the method of linear correlation. C. With rank correlation, we can analyze paired data that are ranks or can be converted to ranks. D. Rank correlation can be used to detect some relationships that are not linear.

Which of the following is NOT true for the rank correlation test? Question content area bottom Part 1 Choose the correct answer below. A. The nonparametric method of rank correlation can be used in a wider variety of circumstances than the parametric method of linear correlation. B. The method of rank correlation is more efficient than the method of linear correlation. C. With rank correlation, we can analyze paired data that are ranks or can be converted to ranks. D. Rank correlation can be used to detect some relationships that are not linear.

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018

18th Edition

ISBN:9780079039897

Author:Carter

Publisher:Carter

Chapter4: Equations Of Linear Functions

Section4.5: Correlation And Causation

Problem 15PPS

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Question content area bottom

Part 1

Choose the correct answer below.

The nonparametric method of rank correlation can be used in a wider variety of circumstances than the parametric method of linear correlation.

The method of rank correlation is more efficient than the method of linear correlation.

With rank correlation, we can analyze paired data that are ranks or can be converted to ranks.

Rank correlation can be used to detect some relationships that are not linear.

Definition Definition Relationship between two independent variables. A correlation tells the degree to which variables move in relation to each other. When two sets of data are related to each other, there is a correlation between them.

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