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## Regression |

The Regression auxiliary model performs a pixelwise linear regression & correlation analysis.

Acquisition and Data Requirements

Image Data |
Any dynamic volume data. |

Volume Data

The pixelwise linear regression uses the acquisition mid-times as the x-values. Therefore, the times must be set to appropriate values.

Note that the Regression model can be used to indirectly fit exponentials: To this end the exponentials are transformed into linear functions by selecting the Logarithm in the PREPROCESSING TOOLS section as illustrated below. When the linear regression is fitted to the transformed data, the slopes represent the exponents.

Model Configuration

Images of the following parameters can be generated

slope |
Slope of the regression line. |

intercept |
y-intercept of regression line. |

corr |
Pearson correlation coefficient for linear correlation (+/-1=complete correlation, 0=no correlation). |

p |
Significance level at which the null hypothesis of zero correlation is disproved (small value = significant correlation) |