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How To Fix /SAPAPO/OUTLDET162 - MLR t-test negative for price; price changes not detected


SAP Error Message - Details

  • Message type: E = Error

  • Message class: /SAPAPO/OUTLDET -

  • Message number: 162

  • Message text: MLR t-test negative for price; price changes not detected

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  • Self-Explanatory Message

    Since SAP believes that this specific error message is 'self-explanatory,' no more information has been given.The majority of messages in the SAP system have a message text, however this is frequently insufficient to comprehend or resolve the problem.

    To make things easier, more detailed information is frequently added to describe the issue, how to fix it, and the necessary steps or configuration modifications.

    Unfortunately, there isn't any extra information in this error notice.



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Smart SAP Assistant

  • What is the cause and solution for SAP error message /SAPAPO/OUTLDET162 - MLR t-test negative for price; price changes not detected ?

    The SAP error message /SAPAPO/OUTLDET162 MLR t-test negative for price; price changes not detected typically occurs in the context of SAP Advanced Planning and Optimization (APO) when the system is trying to perform a statistical analysis (specifically a t-test) on price data during the demand planning or forecasting process. This error indicates that the system did not detect any significant changes in price that would warrant an adjustment in the forecast.

    Cause:

    1. Insufficient Price Variability: The price data may not have enough variability over the selected time period. If prices have remained constant or have not changed significantly, the statistical test will not find a meaningful difference.
    2. Data Quality Issues: There may be issues with the data quality, such as missing values, incorrect data entries, or outliers that can affect the statistical analysis.
    3. Incorrect Configuration: The configuration settings for the forecasting model or the statistical tests may not be set up correctly, leading to inappropriate analysis.
    4. Time Period Selection: The time period selected for the analysis may not be appropriate, either being too short or not capturing relevant price changes.

    Solution:

    1. Review Price Data: Check the historical price data for the product in question. Ensure that there are sufficient data points and variability in the prices.
    2. Data Cleansing: Clean the data to remove any outliers or incorrect entries. Ensure that there are no missing values that could affect the analysis.
    3. Adjust Time Period: Consider adjusting the time period for the analysis to capture a more relevant range of price changes.
    4. Configuration Check: Review the configuration settings for the forecasting model and the statistical tests being used. Ensure that they are set up correctly to analyze price changes.
    5. Consult Documentation: Refer to SAP documentation or help resources for specific guidance on the statistical tests being used and how to interpret the results.

    Related Information:

    • Statistical Analysis in SAP APO: Understanding how SAP APO performs statistical analysis can help in troubleshooting issues related to forecasting and demand planning.
    • SAP Notes and Support: Check SAP Notes for any known issues or patches related to this error message. SAP Support can also provide assistance if the problem persists.
    • Training and Resources: Consider training or resources on SAP APO and statistical forecasting methods to better understand how to manage and interpret price data.

    By addressing the underlying causes and following the suggested solutions, you should be able to resolve the error and improve the forecasting process in SAP APO.

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