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Correlation Squared Sign Loss Label Tool

Compute correlation squared sign loss label from explicit bounded inputs.

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Description

Return squared=correlation² and the original correlation's sign, requiring correlation within minus one through one.

A statistical term depends on its data summaries, weighting convention, centering, denominator, and boundary rules. A contribution, derivative, domain check, or converted summary answers a narrower question than a complete estimator. Those conventions must match before terms are combined or compared.

Return squared=correlation² and the original correlation's sign, requiring correlation within minus one through one.

When to use this tool

Use Correlation Squared Sign Loss Label when you need this specific summary conversion, contribution, domain rule, or sensitivity term with matching statistical conventions.

How to use the tool and how it works

  1. Enter correlation. Use the units and conventions below.
  2. Run the tool. Correct any format, range, or cross-field input error before interpreting the output.
  3. Read squared, sign. Use the output convention below.

Return squared=correlation² and the original correlation's sign, requiring correlation within minus one through one.1

Input fieldMeaning and unitsAccepted input
correlationCorrelationRequired. Finite number.
Output fieldInterpretationReturned shape
squaredSquaredRequired. Finite number.
signSignRequired. Safe integer.
json
{
  "input": {
    "correlation": -0.5
  },
  "output": {
    "squared": 0.25,
    "sign": -1
  }
}

Limitations and assumptions

  • Squaring loses direction, retained separately in sign. A squared correlation is not automatically a causal explanation or the appropriate model R-squared for every analysis.
  • The field tables state structural bounds; the mechanics also specify cross-field constraints. Malformed inputs and unsupported domains cause errors. A successful false flag, empty branch value, or zero placeholder has the meaning stated above and is distinct from an input error.
  • Numeric calculations use binary floating point unless exact decimal-integer arithmetic is explicitly stated. No hidden measurement tolerance or decimal rounding is added; nonfinite or out-of-contract results are rejected. Signed zero is exported as zero.

Alternative or Complementary methods

Use a complete estimator or model when a contribution, sensitivity, or domain check is insufficient. Verify the weight semantics, centering, denominator, and sampling assumptions before combining summaries.

References

  1. Calculation and input contract: statistics/correlation-squared-sign-loss-label — tool.io

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