Details
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Sub-task
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Status: Resolved
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Major
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Resolution: Later
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3.0.0
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None
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None
Description
| Function | Argument Type | Return Type | Partial Mode | Description |
|---|---|---|---|---|
| corr(Y, X) | double precision | double precision | Yes | correlation coefficient |
| covar_pop(Y, X) | double precision | double precision | Yes | population covariance |
| covar_samp(Y, X) | double precision | double precision | Yes | sample covariance |
| regr_avgx(Y, X) | double precision | double precision | Yes | average of the independent variable (sum({{X)/N}}) |
| regr_avgy(Y, X) | double precision | double precision | Yes | average of the dependent variable (sum({{Y)/N}}) |
| regr_count(Y, X) | double precision | bigint | Yes | number of input rows in which both expressions are nonnull |
| regr_intercept(Y, X) | double precision | double precision | Yes | y-intercept of the least-squares-fit linear equation determined by the (X, Y) pairs |
| regr_r2(Y, X) | double precision | double precision | Yes | square of the correlation coefficient |
| regr_slope(Y, X) | double precision | double precision | Yes | slope of the least-squares-fit linear equation determined by the (X, Y) pairs |
| regr_sxx(Y, X) | double precision | double precision | Yes | sum({{X^2) - sum(X)^2/N}} (“sum of squares” of the independent variable) |
| regr_sxy(Y, X) | double precision | double precision | Yes | sum({{X*Y) - sum(X) * sum(Y)/N}} (“sum of products”of independent times dependent variable) |
| regr_syy(Y, X) | double precision | double precision | Yes | sum({{Y^2) - sum(Y)^2/N}} (“sum of squares” of the dependent variable) |
https://www.postgresql.org/docs/11/functions-aggregate.html#FUNCTIONS-AGGREGATE-STATISTICS-TABLE