## Outcomes Network Graph

## Outcomes Flow Chart

## Outcomes

Below is the degree of change seen after Spending on Supplements is higher than average.

## Daily Distribution

## Average by Year

## Average by Month

## Average by Day of Week

### Outcomes Label

Outcomes

of

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 Supplements Info

Property | Value |
---|---|

Variable Name | Spending on Supplements |

Aggregation Method | SUM |

Analysis Performed At | 2020-10-10 |

Duration of Action | 30 days |

Filling Value | 0 |

Kurtosis | 169.44450906341 |

Mean | $15.313934 |

Median | $14.882 |

Minimum Allowed Value | $0 |

Number of Aggregate Predictors | 0 |

Number of Aggregate Outcomes | 59 |

Number of Measurements | 0 |

Number of Measurements (including those generated by tagged, joined, or child variables) | 75 |

Public | true |

Onset Delay | 0 seconds |

Standard Deviation | 2.8638525209823 |

Unit | Dollars |

User Variables | 8 |

UPC | 760488363485 |

Variable Category | Treatments |

Variable ID | 6008363 |

Variance | 15.230272210998 |