Function evaluatePolynomialFit

src/compute-engine/library/statistics.ts:1060–1090

(
  ce: ComputeEngine,
  ops: ReadonlyArray<Expression>,
  numericApproximation: boolean
)

    // collections, or one collection of 2-element (x, y) pairs. Dual
    // exact/numeric path mirroring `Variance`: all-exact data → exact
    // rational/radical result; otherwise machine or BigDecimal kernels.
    //
    Covariance: {
      description:
        'Sample covariance (n − 1 denominator) of paired data, given as two ' +
        'equal-length collections or one collection of (x, y) pairs.',
      complexity: 1200,
      broadcastable: false,
      signature: '(collection<any>, collection<any>?) -> number',
      typeHandlerKind: 'types',
      type: (ops) => pairedStatisticType(ops),
      evaluate: (ops, { engine: ce, numericApproximation }) =>
        evaluateCovariance(ce, ops, !!numericApproximation, false),
    },

    PopulationCovariance: {
      description:
        'Population covariance (n denominator) of paired data, given as two ' +
        'equal-length collections or one collection of (x, y) pairs.',
      complexity: 1200,
      broadcastable: false,
      signature: '(collection<any>, collection<any>?) -> number',
      typeHandlerKind: 'types',
      type: (ops) => pairedStatisticType(ops),
      evaluate: (ops, { engine: ce, numericApproximation }) =>
        evaluateCovariance(ce, ops, !!numericApproximation, true),
    },

    Correlation: {
      description:
        "Pearson's correlation coefficient of paired data, given as two " +
        'equal-length collections or one collection of (x, y) pairs.',
      complexity: 1200,
      broadcastable: false,