{"Entry":{"collection":"func","key":"regr-slope","name":"regr_slope","aliases":[],"metadata":{"changed_in":[],"changes":[{"descriptions_changed":false,"doc_overhaul":false,"from":"8.1","group_changed":null,"signatures":{"added":[],"removed":[]},"status":"added","to":"8.2"},{"descriptions_changed":false,"doc_overhaul":true,"from":"12","group_changed":null,"signatures":{"added":[],"removed":[]},"status":"changed","to":"13"}],"content_hash":"ee2e8ef1b5f7a9168c5b34db4bfa24c78d88f6a074b95b380c049dd802283064","first_version":"8.2","group":"aggregate","group_label":"Aggregate Functions","groups":["aggregate"],"imported_at":"2026-09-27T17:57:28.953432+08:00","last_version":"20","name":"regr_slope","name_key":"regr_slope","position":21044,"present_in":["8.2","8.3","8.4","9.0","9.1","9.2","9.3","9.4","9.5","9.6","10","11","12","13","14","15","16","17","18","19","20"],"signature":"regr_slope ( Y double precision, X double precision ) → double precision","signature_count":1,"slug":"regr-slope","source_rev":"b7bd9cda","summary":"Computes the slope of the least-squares-fit linear equation determined by the (X, Y) pairs.","summary_zh":""}},"Definition":{"Collection":"func","Key":"regr-slope","SourceDatabase":"center","Version":"18","SourceTable":"func","SourceKey":"regr-slope","SourceRevision":"b7bd9cda","Facts":{"description":"Computes the slope of the least-squares-fit linear equation determined by the (X, Y) pairs.","description_html":"Computes the slope of the least-squares-fit linear equation determined by the (\u003cem class=\"parameter\"\u003e\u003ccode\u003eX\u003c/code\u003e\u003c/em\u003e, \u003cem class=\"parameter\"\u003e\u003ccode\u003eY\u003c/code\u003e\u003c/em\u003e) pairs.","description_zh":"","description_zh_html":"","doc":{"anchor":"FUNCTIONS-AGGREGATE-STATISTICS-TABLE","file":"functions-aggregate.html","slug":"18"},"group":"aggregate","group_label":"Aggregate Functions","lang":"en","layout":"table-new","pages":["functions-aggregate.html"],"prose_only":false,"signatures":[{"description":"Computes the slope of the least-squares-fit linear equation determined by the (X, Y) pairs.","description_html":"Computes the slope of the least-squares-fit linear equation determined by the (\u003cem class=\"parameter\"\u003e\u003ccode\u003eX\u003c/code\u003e\u003c/em\u003e, \u003cem class=\"parameter\"\u003e\u003ccode\u003eY\u003c/code\u003e\u003c/em\u003e) pairs.","description_zh":"","description_zh_html":"","examples":[],"html":"\u003ccode class=\"function\"\u003eregr_slope\u003c/code\u003e ( \u003cem class=\"parameter\"\u003e\u003ccode\u003eY\u003c/code\u003e\u003c/em\u003e \u003ccode class=\"type\"\u003edouble precision\u003c/code\u003e, \u003cem class=\"parameter\"\u003e\u003ccode\u003eX\u003c/code\u003e\u003c/em\u003e \u003ccode class=\"type\"\u003edouble precision\u003c/code\u003e ) → \u003ccode class=\"returnvalue\"\u003edouble precision\u003c/code\u003e","returns":"double precision","text":"regr_slope ( Y double precision, X double precision ) → double precision","zh_from":""}],"zh_from":""},"ManualEvidence":{"doc":{"anchor":"FUNCTIONS-AGGREGATE-STATISTICS-TABLE","file":"functions-aggregate.html","slug":"18"}},"MeasuredEvidence":{}},"Text":{"Collection":"func","Key":"regr-slope","SourceDatabase":"pgweb","Version":"18","Locale":"zh-Hans","Title":"regr_slope","Summary":"计算由（X，Y）数值对确定的最小二乘拟合线性方程的斜率。","BodyHTML":"计算由（\u003cem\u003e\u003ccode\u003eX\u003c/code\u003e\u003c/em\u003e，\u003cem\u003e\u003ccode\u003eY\u003c/code\u003e\u003c/em\u003e）数值对确定的最小二乘拟合线性方程的斜率。\u003cpre\u003eregr_slope ( Y double precision, X double precision ) → double precision\u003c/pre\u003e计算由（\u003cem\u003e\u003ccode\u003eX\u003c/code\u003e\u003c/em\u003e，\u003cem\u003e\u003ccode\u003eY\u003c/code\u003e\u003c/em\u003e）数值对确定的最小二乘拟合线性方程的斜率。","SourceRevision":"ca936764","ContentHash":"adfdd84a46520d41dcb6ddede0e35f754ffabc684ebef6eeea4020e4f4f9a4f6","Payload":{"description_zh":"计算由（X，Y）数值对确定的最小二乘拟合线性方程的斜率。","description_zh_html":"计算由（\u003cem class=\"parameter\"\u003e\u003ccode\u003eX\u003c/code\u003e\u003c/em\u003e，\u003cem class=\"parameter\"\u003e\u003ccode\u003eY\u003c/code\u003e\u003c/em\u003e）数值对确定的最小二乘拟合线性方程的斜率。","signatures":[{"description_zh":"计算由（X，Y）数值对确定的最小二乘拟合线性方程的斜率。","description_zh_html":"计算由（\u003cem class=\"parameter\"\u003e\u003ccode\u003eX\u003c/code\u003e\u003c/em\u003e，\u003cem class=\"parameter\"\u003e\u003ccode\u003eY\u003c/code\u003e\u003c/em\u003e）数值对确定的最小二乘拟合线性方程的斜率。","returns":"double precision","text":"regr_slope ( Y double precision, X double precision ) → double precision","zh_from":"doc"}],"zh_from":"doc"}},"RequestedLocale":"zh-Hans","Fallback":false,"Versions":["10","11","12","13","14","15","16","17","18","19","20","8.2","8.3","8.4","9.0","9.1","9.2","9.3","9.4","9.5","9.6"],"Locales":["en","zh-Hans"],"Signatures":[{"Version":"18","Ordinal":0,"Hash":"beb12d4ab2c9150ce7e310782e6aaffca654cdb4dece56f371ff072430d41d01","Text":"regr_slope ( Y double precision, X double precision ) → double precision","Returns":"double precision","Payload":{"description":"Computes the slope of the least-squares-fit linear equation determined by the (X, Y) pairs.","description_html":"Computes the slope of the least-squares-fit linear equation determined by the (\u003cem class=\"parameter\"\u003e\u003ccode\u003eX\u003c/code\u003e\u003c/em\u003e, \u003cem class=\"parameter\"\u003e\u003ccode\u003eY\u003c/code\u003e\u003c/em\u003e) pairs.","description_zh":"","description_zh_html":"","examples":[],"html":"\u003ccode class=\"function\"\u003eregr_slope\u003c/code\u003e ( \u003cem class=\"parameter\"\u003e\u003ccode\u003eY\u003c/code\u003e\u003c/em\u003e \u003ccode class=\"type\"\u003edouble precision\u003c/code\u003e, \u003cem class=\"parameter\"\u003e\u003ccode\u003eX\u003c/code\u003e\u003c/em\u003e \u003ccode class=\"type\"\u003edouble precision\u003c/code\u003e ) → \u003ccode class=\"returnvalue\"\u003edouble precision\u003c/code\u003e","returns":"double precision","text":"regr_slope ( Y double precision, X double precision ) → double precision","zh_from":""}}],"Spellings":null,"SQLState":null,"Evidence":null}
