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How To Fix /SAPAPO/MA722 - Adjusted R**2 is greater than R**2


SAP Error Message - Details

  • Message type: E = Error

  • Message class: /SAPAPO/MA -

  • Message number: 722

  • Message text: Adjusted R**2 is greater than R**2

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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.



    What else can you do?

    First, use our AnswerBot below to get a possible cause and solution (requires a premium subscription).

    Also, review the in-depth Common Questions & Answers listed below; you could discover a solution there or be able to connect with others who have faced similar challenges.

    You can also try searching the SAP support portal (support.sap.com) but you need a special user ID to access it. It is possible that an SAP support note exists that provides additional details about the mistake or even steps for fixing it.


Smart SAP Assistant

  • What is the cause and solution for SAP error message /SAPAPO/MA722 - Adjusted R**2 is greater than R**2 ?

    The SAP error message /SAPAPO/MA722 Adjusted R**2 is greater than R**2 typically occurs in the context of statistical analysis within the SAP Advanced Planning and Optimization (APO) module, particularly when dealing with regression analysis or forecasting models. This error indicates a problem with the statistical calculations, specifically that the adjusted R-squared value is greater than the regular R-squared value, which is mathematically impossible.

    Cause:

    1. Model Specification Issues: The model may be incorrectly specified, such as including too many predictors or irrelevant variables.
    2. Data Issues: There may be issues with the data being used, such as missing values, outliers, or incorrect data types.
    3. Calculation Errors: There could be a bug or error in the calculation logic within the SAP system.
    4. Multicollinearity: High correlation between independent variables can lead to misleading statistics.

    Solution:

    1. Review Model Specification: Check the model to ensure that it is correctly specified. Remove any unnecessary variables and ensure that the predictors are relevant to the dependent variable.
    2. Data Cleaning: Inspect the dataset for missing values, outliers, or incorrect data types. Clean the data as necessary to ensure it is suitable for analysis.
    3. Recalculate Statistics: If you suspect a calculation error, try re-running the analysis or recalculating the statistics to see if the error persists.
    4. Check for Multicollinearity: Use variance inflation factor (VIF) analysis to check for multicollinearity among the independent variables. If multicollinearity is present, consider removing or combining correlated variables.
    5. Consult Documentation: Refer to SAP documentation or support resources for any known issues or patches related to this error message.

    Related Information:

    • R-squared (R²): A statistical measure that represents the proportion of the variance for a dependent variable that's explained by independent variables in a regression model.
    • Adjusted R-squared: A modified version of R-squared that adjusts for the number of predictors in the model. It provides a more accurate measure when comparing models with different numbers of predictors.
    • SAP Notes: Check SAP Notes for any specific patches or updates related to this error message.
    • SAP Community: Engage with the SAP Community forums to see if other users have encountered and resolved this issue.

    If the problem persists after trying these solutions, it may be beneficial to reach out to SAP support for further assistance.

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