## Predictors Network Graph

## Predictors Flow Chart

## Outcomes

Below is the degree of change seen after Time Spent on Entertainment Activities is higher than average.

## Predictors

Below is the change in Time Spent on Entertainment Activities 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.

### Time Spent on Entertainment Activities Info

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

Variable Name | Time Spent On Entertainment Activities |

Aggregation Method | SUM |

Analysis Performed At | 2020-09-23 |

Duration of Action | 7 days |

Filling Value | 0 |

Kurtosis | 51.5977218275 |

Maximum Allowed Value | 7 days |

Mean | 22 minutes |

Median | 6 minutes |

Minimum Allowed Value | 0 microseconds |

Number of Aggregate Predictors | 567 |

Number of Aggregate Outcomes | 191 |

Number of Measurements | 29967 |

Number of Measurements (including those generated by tagged, joined, or child variables) | 1944 |

Public | true |

Onset Delay | 0 seconds |

Standard Deviation | 0.71518168146376 |

Unit | Hours |

User Variables | 110 |

Variable Category | Activities |

Variable ID | 111612 |

Variance | 0.81957408671671 |