Outcomes Flow Chart
Below is the degree of change seen after Spending on Coffee, Tea & Cocoa is higher than average.
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Below is the change in the listed outcome after is higher than average.
(Math.abs(a['change']) < Math.abs(b['change'])) ? 1 : -1)" title="Click to put the results with the largest observed change at the top" > Sort by Effect Size
(a['number_of_days'] < b['number_of_days']) ? 1 : -1)" title="Click to put the results with the most supporting data points at the top." > Sort by Confidence
Spending on Coffee, Tea & Cocoa Info
|Variable Name||Spending on Coffee, Tea & Cocoa|
|Analysis Performed At||2020-10-10|
|Duration of Action||30 days|
|Minimum Allowed Value||$0|
|Number of Aggregate Predictors||0|
|Number of Aggregate Outcomes||40|
|Number of Measurements||0|
|Number of Measurements (including those generated by tagged, joined, or child variables)||7|
|Onset Delay||0 seconds|