In a dataset, X is the independent variable, and Y is the dependent variable, and r is Karl Pearson's coefficient of correlation. If r = 0 then O there is a strongly postive correlation between X and Y. O there is a strongly negative correlation between X and Y. O There is no correlation between X and Y. O None of these

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 24PFA
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In a dataset, X is the independent variable, and Y is the dependent variable, and r is Karl Pearson's
coefficient of correlation. If r = 0 then
there is a strongly postive correlation between X and Y.
there is a strongly negative correlation between X and Y.
O There is no correlation between X and Y.
O None of these
Transcribed Image Text:In a dataset, X is the independent variable, and Y is the dependent variable, and r is Karl Pearson's coefficient of correlation. If r = 0 then there is a strongly postive correlation between X and Y. there is a strongly negative correlation between X and Y. O There is no correlation between X and Y. O None of these
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