Carl is conducting a research study and finds a significant positive correlation between a state's per capita consumption of mozzarella cheese and the number of doctoral degrees in civil engineering that are awarded (real example!). However, this association is actually caused by a third variable that Carl did not measure. The relationship between cheese consumption and engineering degrees is an example of a(n): Group of answer choices spurious relationship clinically significant relationship univariate relationship negative correlation

Carl is conducting a research study and finds a significant positive correlation between a state's per capita consumption of mozzarella cheese and the number of doctoral degrees in civil engineering that are awarded (real example!). However, this association is actually caused by a third variable that Carl did not measure. The relationship between cheese consumption and engineering degrees is an example of a(n): Group of answer choices spurious relationship clinically significant relationship univariate relationship negative correlation

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 2AGP

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Question

Group of answer choices

spurious relationship

clinically significant relationship

univariate relationship

negative correlation

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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