. . . . "\uC0C1\uAD00\uACC4\uC218(\u76F8\u95DC\u4FC2\u6578, correlation coefficient)\uB294 \uB450 \uBCC0\uC218 \uC0AC\uC774\uC758 \uD1B5\uACC4\uC801 \uAD00\uACC4\uB97C \uD45C\uD604\uD558\uAE30 \uC704\uD574 \uD2B9\uC815\uD55C \uC0C1\uAD00 \uAD00\uACC4\uC758 \uC815\uB3C4\uB97C \uC218\uCE58\uC801\uC73C\uB85C \uB098\uD0C0\uB0B8 \uACC4\uC218\uC774\uB2E4. \uC5EC\uB7EC \uC720\uD615\uC758 \uC0C1\uAD00\uACC4\uC218\uAC00 \uC874\uC7AC\uD558\uC9C0\uB9CC \uC81C\uAC01\uAE30 \uC790\uC2E0\uB4E4\uB9CC\uC758 \uC815\uC758\uC640 \uD2B9\uC9D5\uC774 \uC788\uB2E4. \uC774\uB4E4\uC740 \uBAA8\uB450 \uAC12\uC758 \uBC94\uC704\uAC00 -1\uC5D0\uC11C +1 \uC0AC\uC774\uC5D0 \uC18D\uD558\uBA70 \uC5EC\uAE30\uC11C \u00B11\uC740 \uC815\uB3C4\uAC00 \uAC00\uC7A5 \uC13C \uC7A0\uC7AC\uC801 \uC77C\uCE58\uB97C \uB098\uD0C0\uB0B4\uACE0 0\uC740 \uC815\uB3C4\uAC00 \uAC00\uC7A5 \uC13C \uBD88\uC77C\uCE58\uB97C \uB098\uD0C0\uB0B8\uB2E4."@ko . . "\uC0C1\uAD00\uACC4\uC218(\u76F8\u95DC\u4FC2\u6578, correlation coefficient)\uB294 \uB450 \uBCC0\uC218 \uC0AC\uC774\uC758 \uD1B5\uACC4\uC801 \uAD00\uACC4\uB97C \uD45C\uD604\uD558\uAE30 \uC704\uD574 \uD2B9\uC815\uD55C \uC0C1\uAD00 \uAD00\uACC4\uC758 \uC815\uB3C4\uB97C \uC218\uCE58\uC801\uC73C\uB85C \uB098\uD0C0\uB0B8 \uACC4\uC218\uC774\uB2E4. \uC5EC\uB7EC \uC720\uD615\uC758 \uC0C1\uAD00\uACC4\uC218\uAC00 \uC874\uC7AC\uD558\uC9C0\uB9CC \uC81C\uAC01\uAE30 \uC790\uC2E0\uB4E4\uB9CC\uC758 \uC815\uC758\uC640 \uD2B9\uC9D5\uC774 \uC788\uB2E4. \uC774\uB4E4\uC740 \uBAA8\uB450 \uAC12\uC758 \uBC94\uC704\uAC00 -1\uC5D0\uC11C +1 \uC0AC\uC774\uC5D0 \uC18D\uD558\uBA70 \uC5EC\uAE30\uC11C \u00B11\uC740 \uC815\uB3C4\uAC00 \uAC00\uC7A5 \uC13C \uC7A0\uC7AC\uC801 \uC77C\uCE58\uB97C \uB098\uD0C0\uB0B4\uACE0 0\uC740 \uC815\uB3C4\uAC00 \uAC00\uC7A5 \uC13C \uBD88\uC77C\uCE58\uB97C \uB098\uD0C0\uB0B8\uB2E4."@ko . . . . . . . . "1059450152"^^ . . . . . . "\uC0C1\uAD00\uACC4\uC218"@ko . "\u041A\u043E\u0435\u0444\u0456\u0446\u0456\u0454\u043D\u0442 \u043A\u043E\u0440\u0435\u043B\u044F\u0446\u0456\u0457"@uk . "29018709"^^ . . . "\u76F8\u95A2\u4FC2\u6570"@ja . . . "\u76F8\u95DC\u4FC2\u6578\uFF0C\u53C8\u79F0\u4F5C \u95DC\u806F\u4FC2\u6578\uFF08\u82F1\u8A9E\uFF1Acorrelation coefficient\uFF09\u662F\u4E00\u7A2E\u76F8\u95DC\u7A0B\u5EA6\u7684\u6E2C\u91CF\uFF0C\u5728\u7D71\u8A08\u5B78\u4E0A\u7684\u610F\u7FA9\u662F\u5169\u500B\u8B8A\u6578\u4E4B\u9593\u7684\u95DC\u4FC2\u3002\u95DC\u4FC2\u4FC2\u6578\u8207\u300C\u76AE\u5C14\u900A\u79EF\u77E9\u76F8\u5173\u7CFB\u6570\u300D\u4E26\u4E0D\u76F8\u540C\u3002"@zh . . "\u76F8\u95A2\u4FC2\u6570\uFF08\u305D\u3046\u304B\u3093\u3051\u3044\u3059\u3046\u3001\u82F1: correlation coefficient\uFF09\u3068\u306F\u30012\u3064\u306E\u30C7\u30FC\u30BF\u307E\u305F\u306F\u78BA\u7387\u5909\u6570\u306E\u9593\u306B\u3042\u308B\u7DDA\u5F62\u306A\u95A2\u4FC2\u306E\u5F37\u5F31\u3092\u6E2C\u308B\u6307\u6A19\u3067\u3042\u308B\u3002\u76F8\u95A2\u4FC2\u6570\u306F\u7121\u6B21\u5143\u91CF\u3067\u3001\u22121\u4EE5\u4E0A1\u4EE5\u4E0B\u306E\u5B9F\u6570\u306B\u5024\u3092\u3068\u308B\u3002\u76F8\u95A2\u4FC2\u6570\u304C\u6B63\u306E\u3068\u304D\u78BA\u7387\u5909\u6570\u306B\u306F\u6B63\u306E\u76F8\u95A2\u304C\u3001\u8CA0\u306E\u3068\u304D\u78BA\u7387\u5909\u6570\u306B\u306F\u8CA0\u306E\u76F8\u95A2\u304C\u3042\u308B\u3068\u3044\u3046\u3002\u307E\u305F\u76F8\u95A2\u4FC2\u6570\u304C0\u306E\u3068\u304D\u78BA\u7387\u5909\u6570\u306F\u7121\u76F8\u95A2\u3067\u3042\u308B\u3068\u3044\u3046\u3002 \u305F\u3068\u3048\u3070\u3001\u5148\u9032\u8AF8\u56FD\u306E\u5931\u696D\u7387\u3068\u5B9F\u8CEA\u7D4C\u6E08\u6210\u9577\u7387\u306F\u5F37\u3044\u8CA0\u306E\u76F8\u95A2\u95A2\u4FC2\u306B\u3042\u308A\u3001\u76F8\u95A2\u4FC2\u6570\u3092\u6C42\u3081\u308C\u3070\u22121\u306B\u8FD1\u3044\u6570\u5B57\u306B\u306A\u308B\u3002 \u76F8\u95A2\u4FC2\u6570\u304C \u00B11 \u306B\u5024\u3092\u3068\u308B\u3053\u3068\u306F\u30012\u3064\u306E\u30C7\u30FC\u30BF\uFF08\u78BA\u7387\u5909\u6570\uFF09\u304C\u7DDA\u5F62\u306E\u95A2\u4FC2\u306B\u3042\u308B\u3068\u304D\u306B\u9650\u308B\u3002\u307E\u305F2\u3064\u306E\u78BA\u7387\u5909\u6570\u304C\u4E92\u3044\u306B\u72EC\u7ACB\u306A\u3089\u3070\u76F8\u95A2\u4FC2\u6570\u306F 0 \u3068\u306A\u308B\u304C\u3001\u9006\u306F\u6210\u308A\u7ACB\u305F\u306A\u3044\u3002 \u666E\u901A\u3001\u5358\u306B\u76F8\u95A2\u4FC2\u6570\u3068\u3044\u3048\u3070\u30D4\u30A2\u30BD\u30F3\u306E\u7A4D\u7387\u76F8\u95A2\u4FC2\u6570\u3092\u6307\u3059\u3002\u30D4\u30A2\u30BD\u30F3\u7A4D\u7387\u76F8\u95A2\u4FC2\u6570\u306E\u691C\u5B9A\u306F\u504F\u5DEE\u306E\u6B63\u898F\u5206\u5E03\u3092\u4EEE\u5B9A\u3059\u308B\uFF08\u30D1\u30E9\u30E1\u30C8\u30EA\u30C3\u30AF\uFF09\u65B9\u6CD5\u3067\u3042\u308B\u304C\u3001\u4ED6\u306B\u3053\u306E\u3088\u3046\u306A\u4EEE\u5B9A\u3092\u7F6E\u304B\u306A\u3044\u30CE\u30F3\u30D1\u30E9\u30E1\u30C8\u30EA\u30C3\u30AF\u306A\u65B9\u6CD5\u3068\u3057\u3066\u3001\u30B9\u30D4\u30A2\u30DE\u30F3\u306E\u9806\u4F4D\u76F8\u95A2\u4FC2\u6570\u3001\u30B1\u30F3\u30C9\u30FC\u30EB\u306E\u9806\u4F4D\u76F8\u95A2\u4FC2\u6570\u306A\u3069\u3082\u4E00\u822C\u306B\u7528\u3044\u3089\u308C\u308B\u3002"@ja . . . . . . . . "\u76F8\u5173\u7CFB\u6570"@zh . . . "Wsp\u00F3\u0142czynnik korelacji \u2013 liczba okre\u015Blaj\u0105ca, w jakim stopniu zmienne s\u0105 wsp\u00F3\u0142zale\u017Cne. Jest to miara korelacji dw\u00F3ch (lub wi\u0119cej) zmiennych. Istnieje wiele r\u00F3\u017Cnych wzor\u00F3w okre\u015Blanych jako wsp\u00F3\u0142czynniki korelacji. Wi\u0119kszo\u015B\u0107 z nich jest normalizowana tak, \u017Ceby przybiera\u0142a warto\u015Bci od \u22121 (zupe\u0142na korelacja ujemna), przez 0 (brak korelacji) do +1 (zupe\u0142na korelacja dodatnia). Najcz\u0119\u015Bciej stosowany jest wsp\u00F3\u0142czynnik korelacji r Pearsona. W przypadku rozk\u0142adu dalekiego od dwuwymiarowego normalnego lub istnienia w pr\u00F3bie obserwacji odstaj\u0105cych wsp\u00F3\u0142czynnik korelacji Pearsona mo\u017Ce fa\u0142szywie wskazywa\u0107 na nieistniej\u0105c\u0105 korelacj\u0119 (zjawisko to wida\u0107 na przyk\u0142adzie kwartetu Anscombe'a). Wady tej nie maj\u0105 wsp\u00F3\u0142czynniki rangowe, kt\u00F3re z kolei maj\u0105 mniejsz\u0105 efektywno\u015B\u0107 dla rozk\u0142ad\u00F3w bliskich normalnemu."@pl . . . . . . . "6075"^^ . "A correlation coefficient is a numerical measure of some type of correlation, meaning a statistical relationship between two variables. The variables may be two columns of a given data set of observations, often called a sample, or two components of a multivariate random variable with a known distribution."@en . . . . . . "Wsp\u00F3\u0142czynnik korelacji"@pl . "A correlation coefficient is a numerical measure of some type of correlation, meaning a statistical relationship between two variables. The variables may be two columns of a given data set of observations, often called a sample, or two components of a multivariate random variable with a known distribution. Several types of correlation coefficient exist, each with their own definition and own range of usability and characteristics. They all assume values in the range from \u22121 to +1, where \u00B11 indicates the strongest possible agreement and 0 the strongest possible disagreement. As tools of analysis, correlation coefficients present certain problems, including the propensity of some types to be distorted by outliers and the possibility of incorrectly being used to infer a causal relationship between the variables (for more, see Correlation does not imply causation)."@en . . . . . . "Correlation coefficient"@en . . "\u76F8\u95A2\u4FC2\u6570\uFF08\u305D\u3046\u304B\u3093\u3051\u3044\u3059\u3046\u3001\u82F1: correlation coefficient\uFF09\u3068\u306F\u30012\u3064\u306E\u30C7\u30FC\u30BF\u307E\u305F\u306F\u78BA\u7387\u5909\u6570\u306E\u9593\u306B\u3042\u308B\u7DDA\u5F62\u306A\u95A2\u4FC2\u306E\u5F37\u5F31\u3092\u6E2C\u308B\u6307\u6A19\u3067\u3042\u308B\u3002\u76F8\u95A2\u4FC2\u6570\u306F\u7121\u6B21\u5143\u91CF\u3067\u3001\u22121\u4EE5\u4E0A1\u4EE5\u4E0B\u306E\u5B9F\u6570\u306B\u5024\u3092\u3068\u308B\u3002\u76F8\u95A2\u4FC2\u6570\u304C\u6B63\u306E\u3068\u304D\u78BA\u7387\u5909\u6570\u306B\u306F\u6B63\u306E\u76F8\u95A2\u304C\u3001\u8CA0\u306E\u3068\u304D\u78BA\u7387\u5909\u6570\u306B\u306F\u8CA0\u306E\u76F8\u95A2\u304C\u3042\u308B\u3068\u3044\u3046\u3002\u307E\u305F\u76F8\u95A2\u4FC2\u6570\u304C0\u306E\u3068\u304D\u78BA\u7387\u5909\u6570\u306F\u7121\u76F8\u95A2\u3067\u3042\u308B\u3068\u3044\u3046\u3002 \u305F\u3068\u3048\u3070\u3001\u5148\u9032\u8AF8\u56FD\u306E\u5931\u696D\u7387\u3068\u5B9F\u8CEA\u7D4C\u6E08\u6210\u9577\u7387\u306F\u5F37\u3044\u8CA0\u306E\u76F8\u95A2\u95A2\u4FC2\u306B\u3042\u308A\u3001\u76F8\u95A2\u4FC2\u6570\u3092\u6C42\u3081\u308C\u3070\u22121\u306B\u8FD1\u3044\u6570\u5B57\u306B\u306A\u308B\u3002 \u76F8\u95A2\u4FC2\u6570\u304C \u00B11 \u306B\u5024\u3092\u3068\u308B\u3053\u3068\u306F\u30012\u3064\u306E\u30C7\u30FC\u30BF\uFF08\u78BA\u7387\u5909\u6570\uFF09\u304C\u7DDA\u5F62\u306E\u95A2\u4FC2\u306B\u3042\u308B\u3068\u304D\u306B\u9650\u308B\u3002\u307E\u305F2\u3064\u306E\u78BA\u7387\u5909\u6570\u304C\u4E92\u3044\u306B\u72EC\u7ACB\u306A\u3089\u3070\u76F8\u95A2\u4FC2\u6570\u306F 0 \u3068\u306A\u308B\u304C\u3001\u9006\u306F\u6210\u308A\u7ACB\u305F\u306A\u3044\u3002 \u666E\u901A\u3001\u5358\u306B\u76F8\u95A2\u4FC2\u6570\u3068\u3044\u3048\u3070\u30D4\u30A2\u30BD\u30F3\u306E\u7A4D\u7387\u76F8\u95A2\u4FC2\u6570\u3092\u6307\u3059\u3002\u30D4\u30A2\u30BD\u30F3\u7A4D\u7387\u76F8\u95A2\u4FC2\u6570\u306E\u691C\u5B9A\u306F\u504F\u5DEE\u306E\u6B63\u898F\u5206\u5E03\u3092\u4EEE\u5B9A\u3059\u308B\uFF08\u30D1\u30E9\u30E1\u30C8\u30EA\u30C3\u30AF\uFF09\u65B9\u6CD5\u3067\u3042\u308B\u304C\u3001\u4ED6\u306B\u3053\u306E\u3088\u3046\u306A\u4EEE\u5B9A\u3092\u7F6E\u304B\u306A\u3044\u30CE\u30F3\u30D1\u30E9\u30E1\u30C8\u30EA\u30C3\u30AF\u306A\u65B9\u6CD5\u3068\u3057\u3066\u3001\u30B9\u30D4\u30A2\u30DE\u30F3\u306E\u9806\u4F4D\u76F8\u95A2\u4FC2\u6570\u3001\u30B1\u30F3\u30C9\u30FC\u30EB\u306E\u9806\u4F4D\u76F8\u95A2\u4FC2\u6570\u306A\u3069\u3082\u4E00\u822C\u306B\u7528\u3044\u3089\u308C\u308B\u3002"@ja . "Wsp\u00F3\u0142czynnik korelacji \u2013 liczba okre\u015Blaj\u0105ca, w jakim stopniu zmienne s\u0105 wsp\u00F3\u0142zale\u017Cne. Jest to miara korelacji dw\u00F3ch (lub wi\u0119cej) zmiennych. Istnieje wiele r\u00F3\u017Cnych wzor\u00F3w okre\u015Blanych jako wsp\u00F3\u0142czynniki korelacji. Wi\u0119kszo\u015B\u0107 z nich jest normalizowana tak, \u017Ceby przybiera\u0142a warto\u015Bci od \u22121 (zupe\u0142na korelacja ujemna), przez 0 (brak korelacji) do +1 (zupe\u0142na korelacja dodatnia)."@pl . . "\u76F8\u95DC\u4FC2\u6578\uFF0C\u53C8\u79F0\u4F5C \u95DC\u806F\u4FC2\u6578\uFF08\u82F1\u8A9E\uFF1Acorrelation coefficient\uFF09\u662F\u4E00\u7A2E\u76F8\u95DC\u7A0B\u5EA6\u7684\u6E2C\u91CF\uFF0C\u5728\u7D71\u8A08\u5B78\u4E0A\u7684\u610F\u7FA9\u662F\u5169\u500B\u8B8A\u6578\u4E4B\u9593\u7684\u95DC\u4FC2\u3002\u95DC\u4FC2\u4FC2\u6578\u8207\u300C\u76AE\u5C14\u900A\u79EF\u77E9\u76F8\u5173\u7CFB\u6570\u300D\u4E26\u4E0D\u76F8\u540C\u3002"@zh . . .