## Dispersion Diagram

Dispersion Diagrams are used to identify relationships between two sets of compound data sets, and to confirm the relationships that are supposed to exist. The associations between the unified data sets have meaning according to dispersion scheme. A positive relationship between X and Y means that the value of Y increases as the value of X increases.

The attribute values must be selected from the "Dispersion Diagram" window that opens. The default "Data" and "Display Properties" parameters are then displayed in the diagram. User can intervene in these values, if needed.

To display Dispersion Line and Grids, you need to activate the "Show Dispersion Line" and "Show Grids" options in the Dispersion Diagram -> Data tab.

Option | Description |
---|---|

Axis Limit Values (Minimum Value & Maximum Value) | The required min. and max. values to be shown on axis. |

Dispersion Line | It is generated by fitting the regression curve of the data. This curve is deviated and the sum of the errors made is equal to zero. The slope value of the dispersion line is automatically calculated and indicated under the "Show Dispersion Line" option. |

Total Data Amount | It shows the data amount used. |

Correlation Coefficient = R | Mx: Average / Sx: Standard Deviation / N: Number of Data |

Mean | It is the ratio of total value to total data amount. |

Variance | It is used to measure the deviation of the distribution values from the mean. |