What is the best solution? a) Transform both variables using the best transformation for each b) Transform both variables using the same transformation c) Focus on transforming your dancing data, searching for a transformation that improves normality d) Focus on transforming your rain data, searching for a transformation that improves normality
You would like to test whether you can predict the amount of rain that falls on a given day from the amount of dancing a person does the day before. You randomly sample 50 people and record both dancing and raining, taking the average for each person over a 100 day period (one value for both dancing and rain per person). Each person was located in a different city more than 100 km distant from the closest other participant, to eliminate spatial autocorrelation. Neither your rain data nor your dancing data are
a) Transform both variables using the best transformation for each
b) Transform both variables using the same transformation
c) Focus on transforming your dancing data, searching for a transformation that improves normality
d) Focus on transforming your rain data, searching for a transformation that improves normality
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