Label | Explanation | Data Type |

Input Features | The point feature class containing the dependent and explanatory variables. | Feature Set |

Dependent Variable | The numeric field containing the observed values that will be modeled. | Field |

Model Type
| Specifies the type of data that will be modeled. - Continuous (Gaussian) — The Dependent Variable value is continuous. The Gaussian model will be used, and the tool performs ordinary least squares regression.
| String |

Explanatory Variable(s) | A list of fields representing independent explanatory variables in the regression model. | Field |

Output Features | The name of the output feature service. | String |

Neighborhood Type
| Specifies whether the neighborhood used is constructed as a fixed distance or allowed to vary in spatial extent depending on the density of the features. - Number of neighbors — The neighborhood size is a function of a specified number of neighbors included in calculations for each feature. Where features are dense, the spatial extent of the neighborhood is smaller; where features are sparse, the spatial extent of the neighborhood is larger.
- Distance band —The neighborhood size is a constant or fixed distance for each feature.
| String |

Neighborhood Selection Method
| Specifies how the neighborhood size will be determined. - User defined — The neighborhood size will be determined by either the Number of Neighbors or Distance Band parameter.
| String |

Number of Neighbors
(Optional) | The closest number of neighbors (up to 1000) to consider for each feature. The number must be an integer between 2 and 1000. | Long |

Distance Band
(Optional) | The spatial extent of the neighborhood. | Linear Unit |

Local Weighting Scheme
(Optional) | Specifies the kernel type that will be used to provide the spatial weighting in the model. The kernel defines how each feature is related to other features within its neighborhood. - Bisquare —A weight of 0 will be assigned to any feature outside the neighborhood specified. This is the default.
- Gaussian —All features will receive weights, but weights become exponentially smaller the farther away they are from the target feature.
| String |

Data Store
(Optional) | Specifies the ArcGIS Data Store where the output will be saved. The default is Spatiotemporal big data store. All results stored in a spatiotemporal big data store will be stored in WGS84. Results stored in a relational data store will maintain their coordinate system. - Spatiotemporal big data store —Output will be stored in a spatiotemporal big data store. This is the default.
- Relational data store —Output will be stored in a relational data store.
| String |

### Derived Output

Label | Explanation | Data Type |

Output | The output features. | Record Set |