Suppose you are examining the correlation between two quantitative variables, and the correlation, r, is very small. However, you expected it to be larger. What could you do? Examine the data to determine whether there are any outliers that could be removed. If so, remove the outliers and recalculate r. Change the units of measurement to something else (for example, convert data measured in inches to centimeters). Plot the data on a smaller scale. None of the above
Suppose you are examining the correlation between two quantitative variables, and the correlation, r, is very small. However, you expected it to be larger. What could you do? Examine the data to determine whether there are any outliers that could be removed. If so, remove the outliers and recalculate r. Change the units of measurement to something else (for example, convert data measured in inches to centimeters). Plot the data on a smaller scale. None of the above
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 12PPS
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