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TD_DURBIN_WATSON

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Mar 28, 2024 5:15 PM
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It is a test which looks for the presence of serial correlation amongst the error/residual terms. It is mainly employed to analyze the residuals produced by a univariate or multivariate regression (cross-sectional data sets). With respect to regression models, it is expected that there would exist no serial correlation amongst the error terms in contrast, with time series, the expectation is that most likely their will exist serial correlation amongst the error terms.

Component details

Input ports
  1. Type: DB Session
    Teradata Connection
    Connection to a Teradata Database Instance
  2. Type: Table
    Input
    The input of this function is executed against the residuals left over after running a regression. These residuals may either reside within an independent table, or may exist in the form of tertiary results resident within an analytical result table
Output ports
  1. Type: Table
    output of TD_DURBIN_WATSON
    output of TD_DURBIN_WATSON

Used extensions & nodes

Created with KNIME Analytics Platform version 4.7.0
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    KNIME Base nodesTrusted extension

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    Version 4.7.0

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    KNIME DatabaseTrusted extension

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    Version 4.7.0

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    KNIME Python IntegrationTrusted extension

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    Version 4.7.0

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    KNIME Quick FormsTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.7.0

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This component does not have nodes, extensions, nested components and related workflows

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