How To Fix RSAN_RT307 - F test: Calculated value: &1


RSAN_RT307 - Overview

  • Message type: E = Error

  • Message class: RSAN_RT - Messages for Runtime Analysis

  • Message number: 307

  • Message text: F test: Calculated value: &1

  • Show details Hide details
  • What causes this issue?

    The F test allows you to determine the significance with which the
    connection between the dependent and the independent variables is
    correctly returned by the regression equation. The calculated value
    that places the declared variation of the estimation in proportion to
    the nondeclared variation is compared with theoretical values. For more
    precise details, consult statistics textbooks.
    To confirm the results of the calculation, the significance of the F
    test should be greater or equal to 0.95 (95%).

    System Response

    The system issues an error message and will not allow you to continue with this transaction until the error is resolved.

    How to fix this error?

    If the significance of the F test is under 0,95 (95%), check the
    significance of the T test. Remove any variables exhibiting
    significances below 0.95, and perform linear regression again. If the
    significance of the F test remains below 0.95, then the results of the
    calculation are not confirmed by the F test.

    Procedure for System Administrators


    Error message extract from SAP system. Copyright SAP SE.


Smart SAP Assistant

  • What is the cause and solution for SAP error message RSAN_RT307 - F test: Calculated value: &1 ?
    The SAP error message RSAN_RT307 typically occurs in the context of SAP BW (Business Warehouse) when there is an issue with the calculation of a value in a query or report. The message indicates that the calculated value is not as expected, and it usually provides a placeholder (&1) for the specific value that caused the issue.
    
    Cause: Data Inconsistency: The underlying data may be inconsistent or incomplete, leading to incorrect calculations. Incorrect Query Design: The query may be incorrectly designed, with issues in the selection criteria, filters, or aggregations. Missing Master Data: If the master data required for the calculation is missing or not properly maintained, it can lead to errors. Technical Issues: There may be technical issues with the InfoProvider or the data model that affect the calculation.
    Solution: Check Data Consistency: Verify the underlying data in the InfoProvider to ensure that it is complete and consistent. Look for any missing or incorrect entries. Review Query

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