## Predictors Network Graph

## Predictors Flow Chart

## Outcomes

Below is the degree of change seen after Calories Expended is higher than average.

## Predictors

Below is the change in Calories Expended seen after the predictor 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

### Predictors Label

Predictors

of

Below is the change in after the listed predictor is higher than average.

### Calories Expended Info

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

Variable Name | Calories Expended |

Aggregation Method | MEAN |

Analysis Performed At | 2020-10-11 |

Duration of Action | 7 days |

Kurtosis | 1.612375635864 |

Maximum Allowed Value | 10000 kilocalories |

Mean | 2063.9175925926 kilocalories |

Median | 2055 kilocalories |

Minimum Allowed Value | 1000 kilocalories |

Number of Aggregate Predictors | 103 |

Number of Aggregate Outcomes | 18 |

Number of Measurements | 721 |

Number of Measurements (including those generated by tagged, joined, or child variables) | 361 |

Public | true |

Onset Delay | 0 seconds |

Standard Deviation | 306.42481318763 |

Unit | Kilocalories |

User Variables | 3 |

UPC | 0 |

Variable Category | Physical Activity |

Variable ID | 1284 |

Variance | 140844.24920561 |