productivity at work and wants to use a correlation coefficient. However, when the researcher plots the relationship between these two variables, he finds that productivity increases as stress increases to a moderate level and, from that point on, increases in stress are associated with a DECREASE in productivity. This results in a curved relationship. This data violates the assumption of: Group of answer choices related pairs interval/ratio measurement a linear relationship between X and Y no outliers in either direction for either variable
productivity at work and wants to use a correlation coefficient. However, when the researcher plots the relationship between these two variables, he finds that productivity increases as stress increases to a moderate level and, from that point on, increases in stress are associated with a DECREASE in productivity. This results in a curved relationship. This data violates the assumption of: Group of answer choices related pairs interval/ratio measurement a linear relationship between X and Y no outliers in either direction for either variable
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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A researcher is examining the relationship between stress and productivity at work and wants to use a correlation coefficient . However, when the researcher plots the relationship between these two variables, he finds that productivity increases as stress increases to a moderate level and, from that point on, increases in stress are associated with a DECREASE in productivity. This results in a curved relationship. This data violates the assumption of:
Group of answer choices
related pairs
interval/ratio measurement
a linear relationship between X and Y
no outliers in either direction for either variable
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