{"id":17373,"date":"2023-06-29T06:00:00","date_gmt":"2023-06-28T21:00:00","guid":{"rendered":"https:\/\/www.muscle-hypertrophy.com\/?p=17373"},"modified":"2023-03-03T12:40:05","modified_gmt":"2023-03-03T03:40:05","slug":"%e6%9a%91%e7%86%b1%e9%a6%b4%e5%8c%96%e3%82%92%e8%80%83%e6%85%ae%e3%81%97%e3%81%a6%e7%86%b1%e4%b8%ad%e7%97%87%e6%90%ac%e9%80%81%e4%ba%ba%e5%93%a1%e6%95%b0%e3%82%92%e4%ba%88%e6%b8%ac%e3%81%99%e3%82%8b","status":"publish","type":"post","link":"https:\/\/www.muscle-hypertrophy.com\/?p=17373","title":{"rendered":"\u6691\u71b1\u99b4\u5316\u3092\u8003\u616e\u3057\u3066\u71b1\u4e2d\u75c7\u642c\u9001\u4eba\u54e1\u6570\u3092\u4e88\u6e2c\u3059\u308b\u30e2\u30c7\u30eb\u3092\u69cb\u7bc9\u3059\u308b"},"content":{"rendered":"\n

\u3000\u4eba\u4f53\u306b\u306f\u6691\u71b1\u99b4\u5316\u3068\u3044\u3046\u6a5f\u69cb\u304c\u3042\u308b\uff0e\u6691\u3055\u306b\u4f53\u304c\u6163\u308c\u308b\u3053\u3068\u3067\u3042\u308b\uff0e\u3053\u306e\u6a5f\u69cb\u3092\u53d6\u308a\u8fbc\u3093\u3060\u30e2\u30c7\u30eb\u3092\u69cb\u7bc9\u3057\u3066\u307f\u305f\uff0e<\/p>\n

<\/p>\n

\u6691\u71b1\u99b4\u5316\u3068\u306f<\/h2>\n

\u3000\u6691\u3055\u306b\u4f53\u3092\u5f90\u3005\u306b\u6163\u3089\u3057\u3066\u3044\u304f\u3053\u3068\u3092\u8a00\u3046\uff0e\u6691\u71b1\u9806\u5316\u3068\u3082\u66f8\u304f\uff0e\u6691\u71b1\u99b4\u5316\u304c\u5145\u5206\u3067\u306a\u3044\u3068\u3088\u308a\u4f4e\u6e29\u3067\u3082\u71b1\u4e2d\u75c7\u304c\u8d77\u304d\u3084\u3059\u3044\u3068\u3055\u308c\u308b\uff0e\u590f\u306e\u6c17\u5019\u304c\u9032\u3080\u306b\u9023\u308c\u3066\u6691\u71b1\u99b4\u5316\u3057\u305f\u500b\u4f53\u304c\u5897\u3048\u3066\u3044\u304f\u3068\u4e88\u60f3\u3055\u308c\u308b\uff0e<\/p>\n

\u6691\u71b1\u99b4\u5316\u3092\u30e2\u30c7\u30eb\u306b\u53d6\u308a\u8fbc\u3080\u306b\u306f<\/h2>\n

\u3000\u304a\u305d\u3089\u304f\u6642\u9593\u7d4c\u904e\u306e\u5909\u6570\u3092\u53d6\u308a\u8fbc\u3080\u306e\u304c\u826f\u3044\u3060\u308d\u3046\u3068\u691c\u8a0e\u3092\u3064\u3051\u305f\uff0e\u5177\u4f53\u7684\u306b\u306f\u6708\u3067\u3042\u308b\uff0e\u300e\u6c17\u8c61\u30c7\u30fc\u30bf\u304b\u3089\u71b1\u4e2d\u75c7\u6551\u6025\u642c\u9001\u8005\u6570\u3092\u4e88\u6e2c\u3059\u308b<\/a>\u300f\u3068\u3044\u3046\u65e5\u672c\u6551\u6025\u533b\u5b66\u4f1a\u306e\u539f\u8457\u8ad6\u6587\u3067\u306f7\u6708\u30688\u6708\u3067\u6691\u71b1\u99b4\u5316\u3092\u5206\u3051\u3066\u3044\u305f\u305f\u3081\uff0c\u5e74\u6708\u65e5\u30927\u6708\u672b\u65e5\u307e\u3067\u30688\u67081\u65e5\u4ee5\u964d\u3067\u5206\u3051\u308b\u30e2\u30c7\u30eb\u3092\u69cb\u7bc9\u3057\u3066\u307f\u305f\uff0e\u4e00\u65b9\uff0c\u590f\u306e\u6c17\u5019\u304c\u9032\u3080\u306b\u3064\u308c\u3066\u6691\u71b1\u99b4\u5316\u3057\u305f\u500b\u4f53\u304c\u5897\u3048\u308b\u3068\u4e88\u60f3\u3055\u308c\u308b\u3053\u3068\u304b\u3089\uff0c\u6708\u3092\u305d\u306e\u307e\u307e\u5909\u6570\u3068\u3057\u3066\u6295\u5165\u3059\u308b\u30e2\u30c7\u30eb\u3082\u5fc5\u8981\u3068\u8003\u3048\u3089\u308c\u305f\uff0e<\/p>\n

\u30af\u30a8\u30ea<\/h2>\n

\u3000\u4e0b\u8a18\u30af\u30a8\u30ea\u3092SQL Server\u3067\u767a\u884c\u3057\u3066\u7d50\u679c\u3092EXCEL\u306b\u30b3\u30d4\u30da\u3057HeatStroke4.xlsx\u3068\u3044\u3046\u540d\u524d\u3067\u4fdd\u5b58\u3059\u308b\uff0e<\/p>\n

USE HeatStrokeDB;\nGO\nSELECT\tP.FiscalYear\n,\tT.\u5e74\u6708\u65e5\tAS Date\n,\tMONTH(T.\u5e74\u6708\u65e5)\tAS Month\n,\tCASE WHEN MONTH(T.\u5e74\u6708\u65e5)<= 7 THEN 1 ELSE 0 END\tAS Acclimation\n,\tT.\u90fd\u9053\u5e9c\u770c\u30b3\u30fc\u30c9\tAS PrefCode\n,\tT.\u90fd\u9053\u5e9c\u770c\tAS Pref\n,\tT.\u65e5\u6700\u9ad8\u6c17\u6e29\tAS Temp\n,\tV.\u65e5\u5e73\u5747\u84b8\u6c17\u5727\tAS Vapor\n,\tW.\u5e73\u5747\u98a8\u901f\tAS Wind\n,\tC.\u5e73\u5747\u96f2\u91cf\tAS Cloud\n,\tP.Population\tAS Pop\n,\tH.[\u642c\u9001\u4eba\u54e1\uff08\u8a08\uff09]\tAS Num\nFROM\tdbo.T_HeatStroke\tAS H\nINNER\tJOIN\tdbo.T_MaxTemperature\tAS T\nON\tH.\u90fd\u9053\u5e9c\u770c\u30b3\u30fc\u30c9 = T.\u90fd\u9053\u5e9c\u770c\u30b3\u30fc\u30c9\nAND\tH.\u65e5\u4ed8 = T.\u5e74\u6708\u65e5\nINNER\tJOIN\tdbo.T_VaporPressure\tAS V\nON\tH.\u90fd\u9053\u5e9c\u770c\u30b3\u30fc\u30c9 = V.\u90fd\u9053\u5e9c\u770c\u30b3\u30fc\u30c9\nAND\tH.\u65e5\u4ed8 = V.\u5e74\u6708\u65e5\nINNER\tJOIN\tdbo.T_Wind\tAS W\nON\tH.\u90fd\u9053\u5e9c\u770c\u30b3\u30fc\u30c9 = W.\u90fd\u9053\u5e9c\u770c\u30b3\u30fc\u30c9\nAND\tH.\u65e5\u4ed8 = W.\u5e74\u6708\u65e5\nINNER\tJOIN\tdbo.T_Population AS P\nON\tH.\u90fd\u9053\u5e9c\u770c\u30b3\u30fc\u30c9 = P.PrefCode\nAND\tYEAR(H.\u65e5\u4ed8) = P.FiscalYear\nINNER\tJOIN\tdbo.T_Cloud\tAS C\nON\tH.\u90fd\u9053\u5e9c\u770c\u30b3\u30fc\u30c9 = C.\u90fd\u9053\u5e9c\u770c\u30b3\u30fc\u30c9\nAND\tH.\u65e5\u4ed8 = C.\u5e74\u6708\u65e5\nORDER\tBY PrefCode, Date<\/pre>\n
(63725 \u884c\u51e6\u7406\u3055\u308c\u307e\u3057\u305f)<\/pre>\n
R\u3067\u306e\u51e6\u7406<\/h2>\n
\u3000\u4e0b\u8a18\u30b3\u30fc\u30c9\u3092\u5b9f\u884c\u3059\u308b\uff0e<\/p>\n
> y = HeatStroke4$Num\n> x1 = HeatStroke4$Temp\n> x2 = HeatStroke4$Vapor\n> x5 = HeatStroke4$Acclimation\n> x6 = HeatStroke4$Month\n> p = HeatStroke4$Pop\n> z1 = glm(y ~ x1 + x2, offset = log(p), family = poisson(link = \"log\"))\n> z2 = glm(y ~ x1 + x2 + x5, offset = log(p), family = poisson(link = \"log\"))\n> z3 = glm(y ~ x1 + x2 + x6, offset = log(p), family = poisson(link = \"log\"))<\/pre>\n
\u3000\u7d50\u679c\u306f\u6b21\u306e\u3068\u304a\u308a\u3067\u3042\u308b\uff0e7\u6708\u30688\u6708\u3067\u5206\u3051\u305f\u5834\u5408\uff0c7\u6708\u4ee5\u524d\u306e\u4fc2\u6570\u306e\u7b26\u53f7\u306f\u6b63\u3067\u3042\u308a\uff0c\u540c\u3058\u6700\u9ad8\u6c17\u6e29\uff0c\u540c\u3058\u5e73\u5747\u6c34\u84b8\u6c17\u5727\u3067\u3082\uff0c8\u6708\u4ee5\u964d\u3088\u308a\u3082\u642c\u9001\u4eba\u54e1\u6570\u306f\u591a\u304f\u306a\u308b\u3053\u3068\u304c\u4e88\u60f3\u3055\u308c\u308b\uff0e\u6708\u3092\u5909\u6570\u3068\u3057\u3066\u6295\u5165\u3057\u305f\u5834\u5408\uff0c\u4fc2\u6570\u306e\u7b26\u53f7\u306f\u8ca0\u3067\u3042\u308a\uff0c\u6708\u304c\u9032\u3080\u307b\u3069\u540c\u3058\u6700\u9ad8\u6c17\u6e29\uff0c\u5e73\u5747\u6c34\u84b8\u6c17\u5727\u3067\u3082\u642c\u9001\u4eba\u54e1\u6570\u304c\u5c11\u306a\u304f\u306a\u308b\u3068\u4e88\u60f3\u3055\u308c\u308b\uff0e<\/p>\n
\u3000\u307e\u305f7\u6708\u30688\u6708\u3067\u5206\u3051\u308b\u3088\u308a\u3082\uff0c\u6708\u3092\u5909\u6570\u3068\u3057\u3066\u305d\u306e\u307e\u307e\u6295\u5165\u3057\u305f\u307b\u3046\u304cAIC\u306f\u826f\u3044\uff0e\u30e2\u30c7\u30eb\u306e\u4e88\u6e2c\u6027\u80fd\u3068\u3057\u3066\u306f\u6708\u3092\u305d\u306e\u307e\u307e\u6295\u5165\u3057\u305f\u307b\u3046\u304c\u826f\u3055\u305d\u3046\u3067\u3042\u308b\uff0e<\/p>\n
> summary(z1)\n\nCall:\nglm(formula = y ~ x1 + x2, family = poisson(link = \"log\"), offset = log(p))\n\nDeviance Residuals: \n     Min        1Q    Median        3Q       Max  \n-12.8521   -1.2624   -0.4054    0.9833   19.8305  \n\nCoefficients:\n              Estimate Std. Error z value Pr(>|z|)    \n(Intercept) -2.288e+01  1.682e-02 -1360.2   <2e-16 ***\nx1           2.735e-01  5.367e-04   509.6   <2e-16 ***\nx2           6.379e-02  4.275e-04   149.2   <2e-16 ***\n---\nSignif. codes:  0 \u2018***\u2019 0.001 \u2018**\u2019 0.01 \u2018*\u2019 0.05 \u2018.\u2019 0.1 \u2018 \u2019 1\n\n(Dispersion parameter for poisson family taken to be 1)\n\n    Null deviance: 857600  on 63724  degrees of freedom\nResidual deviance: 264558  on 63722  degrees of freedom\nAIC: 428808\n\nNumber of Fisher Scoring iterations: 5\n\n> summary(z2)\n\nCall:\nglm(formula = y ~ x1 + x2 + x5, family = poisson(link = \"log\"), \n    offset = log(p))\n\nDeviance Residuals: \n     Min        1Q    Median        3Q       Max  \n-12.2137   -1.1973   -0.3776    0.9475   21.2504  \n\nCoefficients:\n              Estimate Std. Error z value Pr(>|z|)    \n(Intercept) -2.352e+01  1.741e-02 -1350.8   <2e-16 ***\nx1           2.823e-01  5.402e-04   522.6   <2e-16 ***\nx2           6.884e-02  4.273e-04   161.1   <2e-16 ***\nx5           4.482e-01  2.883e-03   155.5   <2e-16 ***\n---\nSignif. codes:  0 \u2018***\u2019 0.001 \u2018**\u2019 0.01 \u2018*\u2019 0.05 \u2018.\u2019 0.1 \u2018 \u2019 1\n\n(Dispersion parameter for poisson family taken to be 1)\n\n    Null deviance: 857600  on 63724  degrees of freedom\nResidual deviance: 240471  on 63721  degrees of freedom\nAIC: 404723\n\nNumber of Fisher Scoring iterations: 5\n\n> summary(z3)\n\nCall:\nglm(formula = y ~ x1 + x2 + x6, family = poisson(link = \"log\"), \n    offset = log(p))\n\nDeviance Residuals: \n     Min        1Q    Median        3Q       Max  \n-11.9928   -1.1828   -0.3778    0.9220   20.9818  \n\nCoefficients:\n              Estimate Std. Error z value Pr(>|z|)    \n(Intercept) -2.136e+01  1.820e-02 -1173.8   <2e-16 ***\nx1           2.843e-01  5.423e-04   524.3   <2e-16 ***\nx2           7.738e-02  4.274e-04   181.1   <2e-16 ***\nx6          -2.985e-01  1.776e-03  -168.1   <2e-16 ***\n---\nSignif. codes:  0 \u2018***\u2019 0.001 \u2018**\u2019 0.01 \u2018*\u2019 0.05 \u2018.\u2019 0.1 \u2018 \u2019 1\n\n(Dispersion parameter for poisson family taken to be 1)\n\n    Null deviance: 857600  on 63724  degrees of freedom\nResidual deviance: 235494  on 63721  degrees of freedom\nAIC: 399746\n\nNumber of Fisher Scoring iterations: 5<\/pre>\n
\u30ed\u30b8\u30b9\u30c6\u30a3\u30c3\u30af\u95a2\u6570\u306e\u5c0e\u5165<\/h2>\n
\u3000\u66f4\u306b\u8003\u5bdf\u3092\u9032\u3081\u308b\uff0e\u6708\u3092\u30e2\u30c7\u30eb\u306b\u6295\u5165\u3059\u308b\u969b\uff0c1\u6b21\u306e\u7dda\u5f62\u3067\u6295\u5165\u3057\u305f\u304c\uff0c\u6691\u71b1\u99b4\u5316\u3057\u305f\u500b\u4f53\u6570\u306f\u6642\u9593\u7d4c\u904e\u3068\u3068\u3082\u306b\u30b7\u30b0\u30e2\u30a4\u30c9\u66f2\u7dda\u3092\u63cf\u304f\u3068\u8003\u3048\u3089\u308c\u308b\uff0e\uff17\u6708\u3067\u306f\u6691\u71b1\u99b4\u5316\u3057\u305f\u500b\u4f53\u6570\u306f\u307e\u3060\u5c11\u306a\u304f\uff0c\uff19\u6708\u3067\u306f\u99b4\u5316\u3057\u305f\u500b\u4f53\u6570\u306f\u5341\u5206\u306b\u5897\u52a0\u3057\u3066\u3044\u308b\u3068\u8003\u3048\u3089\u308c\uff0c\uff18\u6708\u306f\u307e\u3055\u306b\u99b4\u5316\u306e\u6700\u4e2d\u3067\u3042\u308b\u3068\u8003\u3048\u3089\u308c\u308b\uff0e\u5b9f\u969b\uff0c\uff18\u6708\u4e0a\u65ec\u304c\u6700\u3082\u6691\u3044\uff0e\u305d\u306e\u3088\u3046\u306a\u66f2\u7dda\u3092\u63cf\u304f\u306e\u306b\u9069\u3057\u305f\u95a2\u6570\u304c\u30ed\u30b8\u30b9\u30c6\u30a3\u30c3\u30af\u95a2\u6570\u3067\u3042\u308b\uff0e<\/p>\n
\u3000\u3053\u3053\u304b\u3089\u306f\u8a66\u884c\u932f\u8aa4\u306b\u306a\u308b\uff0e<\/p>\n
y=\\frac{1}{1 + Exp(8-x)}<\/p>\n
\u3000\u4e0a\u8a18\u306e\u30b0\u30e9\u30d5\u3092\u63cf\u3044\u3066\u307f\u308b\u3068\uff16\u6708\u304b\u3089\uff19\u6708\u306b\u304b\u3051\u3066\u306e\u50be\u304d\u306f\u7dda\u5f62\u306e\u5834\u5408\u3068\u307b\u307c\u5909\u308f\u3089\u306a\u3044\uff0e<\/p>\n
\"\u7dda\u5f62\u4e88\u6e2c\u5b50\u304cx-8\u306e\u5834\u5408\"<\/a>
\u7dda\u5f62\u4e88\u6e2c\u5b50\u304cx-8\u306e\u5834\u5408<\/figcaption><\/figure>\n
\u3000\u305d\u3053\u3067\u7dda\u5f62\u4e88\u6e2c\u5b50\u306e\u9805\u306b\uff12\u3092\u304b\u3051\u3066\u307f\u308b\uff0e<\/p>\n
y = \\frac{1}{1 + Exp(16 - 2x)}<\/p>\n
\"\u7dda\u5f62\u4e88\u6e2c\u5b50\u304c2(x-8)\u306e\u5834\u5408\"<\/a>
\u7dda\u5f62\u4e88\u6e2c\u5b50\u304c2(x-8)\u306e\u5834\u5408<\/figcaption><\/figure>\n
\u3000\u3053\u306e\u30b0\u30e9\u30d5\u3060\u3068\uff17\u6708\u306f\u6bd4\u8f03\u7684\u5c11\u306a\u304f\uff0c\uff18\u6708\u306b\u6025\u5cfb\u306b\u7acb\u3061\u4e0a\u304c\u308a\uff0c\uff19\u6708\u306b\u306f\u591a\u304f\u5b89\u5b9a\u3059\u308b\u3068\u3044\u3046\u66f2\u7dda\u304c\u5f97\u3089\u308c\u308b\uff0e\u3053\u306e\u95a2\u6570\u3092\u4f7f\u7528\u3057\u3066\u307f\u308b\uff0e<\/p>\n
> y = HeatStroke7$Num\n> x1 = HeatStroke7$Temp\n> x2 = HeatStroke7$Vapor\n> x3 = HeatStroke7$Month\n> x4 = exp(HeatStroke7$Month)\n> x5 = 1\/(1 + exp(8 - HeatStroke7$Month))\n> x6 = 1\/(1 + exp(16 - 2 * HeatStroke7$Month))\n> p = HeatStroke7$Pop\n> z3 = glm(y ~ x1 + x2 + x3, offset = log(p), family = poisson(link = \"log\"))\n> z4 = glm(y ~ x1 + x2 + x4, offset = log(p), family = poisson(link = \"log\"))\n> z5 = glm(y ~ x1 + x2 + x5, offset = log(p), family = poisson(link = \"log\"))\n> z6 = glm(y ~ x1 + x2 + x6, offset = log(p), family = poisson(link = \"log\"))<\/pre>\n
> summary(z3)\n\nCall:\nglm(formula = y ~ x1 + x2 + x3, family = poisson(link = \"log\"), \n    offset = log(p))\n\nDeviance Residuals: \n     Min        1Q    Median        3Q       Max  \n-12.1367   -1.2075   -0.3934    0.9025   20.9325  \n\nCoefficients:\n              Estimate Std. Error z value Pr(>|z|)    \n(Intercept) -2.140e+01  1.694e-02 -1263.8   <2e-16 ***\nx1           2.841e-01  5.083e-04   559.0   <2e-16 ***\nx2           8.104e-02  3.997e-04   202.8   <2e-16 ***\nx3          -3.026e-01  1.664e-03  -181.8   <2e-16 ***\n---\nSignif. codes:  0 \u2018***\u2019 0.001 \u2018**\u2019 0.01 \u2018*\u2019 0.05 \u2018.\u2019 0.1 \u2018 \u2019 1\n\n(Dispersion parameter for poisson family taken to be 1)\n\n    Null deviance: 984714  on 70107  degrees of freedom\nResidual deviance: 263517  on 70104  degrees of freedom\nAIC: 446465\n\nNumber of Fisher Scoring iterations: 5\n\n> summary(z4)\n\nCall:\nglm(formula = y ~ x1 + x2 + x4, family = poisson(link = \"log\"), \n    offset = log(p))\n\nDeviance Residuals: \n     Min        1Q    Median        3Q       Max  \n-12.5525   -1.1976   -0.3893    0.9082   21.1380  \n\nCoefficients:\n              Estimate Std. Error z value Pr(>|z|)    \n(Intercept) -2.255e+01  1.553e-02 -1452.0   <2e-16 ***\nx1           2.706e-01  5.000e-04   541.2   <2e-16 ***\nx2           6.747e-02  3.938e-04   171.3   <2e-16 ***\nx4          -1.274e-04  7.212e-07  -176.6   <2e-16 ***\n---\nSignif. codes:  0 \u2018***\u2019 0.001 \u2018**\u2019 0.01 \u2018*\u2019 0.05 \u2018.\u2019 0.1 \u2018 \u2019 1\n\n(Dispersion parameter for poisson family taken to be 1)\n\n    Null deviance: 984714  on 70107  degrees of freedom\nResidual deviance: 261180  on 70104  degrees of freedom\nAIC: 444128\n\nNumber of Fisher Scoring iterations: 5\n\n> summary(z5)\n\nCall:\nglm(formula = y ~ x1 + x2 + x5, family = poisson(link = \"log\"), \n    offset = log(p))\n\nDeviance Residuals: \n     Min        1Q    Median        3Q       Max  \n-12.0329   -1.2065   -0.3907    0.9017   20.8520  \n\nCoefficients:\n              Estimate Std. Error z value Pr(>|z|)    \n(Intercept) -2.286e+01  1.554e-02 -1470.9   <2e-16 ***\nx1           2.812e-01  5.052e-04   556.6   <2e-16 ***\nx2           7.606e-02  3.965e-04   191.8   <2e-16 ***\nx5          -1.485e+00  8.081e-03  -183.7   <2e-16 ***\n---\nSignif. codes:  0 \u2018***\u2019 0.001 \u2018**\u2019 0.01 \u2018*\u2019 0.05 \u2018.\u2019 0.1 \u2018 \u2019 1\n\n(Dispersion parameter for poisson family taken to be 1)\n\n    Null deviance: 984714  on 70107  degrees of freedom\nResidual deviance: 262084  on 70104  degrees of freedom\nAIC: 445032\n\nNumber of Fisher Scoring iterations: 5\n\n> summary(z6)\n\nCall:\nglm(formula = y ~ x1 + x2 + x6, family = poisson(link = \"log\"), \n    offset = log(p))\n\nDeviance Residuals: \n     Min        1Q    Median        3Q       Max  \n-12.2273   -1.2029   -0.3876    0.9039   20.7392  \n\nCoefficients:\n              Estimate Std. Error z value Pr(>|z|)    \n(Intercept) -2.286e+01  1.561e-02 -1464.9   <2e-16 ***\nx1           2.777e-01  5.029e-04   552.2   <2e-16 ***\nx2           7.139e-02  3.958e-04   180.4   <2e-16 ***\nx6          -9.866e-01  5.305e-03  -186.0   <2e-16 ***\n---\nSignif. codes:  0 \u2018***\u2019 0.001 \u2018**\u2019 0.01 \u2018*\u2019 0.05 \u2018.\u2019 0.1 \u2018 \u2019 1\n\n(Dispersion parameter for poisson family taken to be 1)\n\n    Null deviance: 984714  on 70107  degrees of freedom\nResidual deviance: 260900  on 70104  degrees of freedom\nAIC: 443848\n\nNumber of Fisher Scoring iterations: 5<\/pre>\n
\u3000\u6700\u5f8c\u306e\u30e2\u30c7\u30ebz6\u3067AIC\u304c\u6700\u3082\u5c0f\u3055\u304f\u306a\u3063\u305f\uff0e<\/p>\n
\u307e\u3068\u3081<\/h2>\n
\u3000\u6691\u71b1\u9806\u5fdc\u3092\u8003\u616e\u3057\u305f\u30e2\u30c7\u30eb\u3092\u69cb\u7bc9\u3057\u305f\uff0e<\/p>\n
 y = Exp(-22.86 + 0.2777 \\times Temp + 0.07139 \\times Vapor + Log(Population) -0.9866 \\times \\frac{1}{1 + Exp(16-2 \\times Month)})<\/p>\n
\u3000\u6691\u71b1\u99b4\u5316\u3092\u8868\u73fe\u3059\u308b\u305f\u3081\u306b\u30ed\u30b8\u30b9\u30c6\u30a3\u30c3\u30af\u95a2\u6570\u3092\u5c0e\u5165\u3057\u305f\u304c\uff0c\u672c\u6765\u306a\u3089\u3070\uff11\u5e74\u3092\u5468\u671f\u3068\u3057\u305f\u4e09\u89d2\u95a2\u6570\u3092\u7528\u3044\u308b\u3079\u304d\u3067\u3042\u308d\u3046\uff0e<\/p>\n
\u3000\u4f59\u8ac7\u3060\u304c\uff0c\u5148\u306b\u5f15\u7528\u3057\u305f\u8ad6\u6587\u3067\u306f\u5e73\u5747\u6c17\u6e29\u304b\u3089\u4e88\u6e2c\u5f0f\u3092\u5c0e\u51fa\u3057\uff0c\u305d\u306e\u5f62\u304c\u6307\u6570\u95a2\u6570\u3067\u3042\u308b\u3053\u3068\u304b\u3089\u30dd\u30a2\u30bd\u30f3\u5206\u5e03\u3092\u60f3\u5b9a\u3057\u3066\u3044\u308b\u3068\u8003\u3048\u3089\u308c\u308b\uff0e\u3057\u304b\u3057\u6691\u71b1\u99b4\u5316\u306e\u88dc\u6b63\u9805\u3092\u6307\u6570\u95a2\u6570\u306e\u5916\u306b\u51fa\u3057\u3066\u3044\u308b\uff0e\u7b46\u8005\u306f\u7d71\u8a08\u5b66\u521d\u5fc3\u8005\u3067\u3042\u308a\u3053\u306e\u3088\u3046\u306a\u88dc\u6b63\u304c\u9069\u5207\u306a\u306e\u304b\uff0c\u6307\u6570\u95a2\u6570\u5185\u306e\u7dda\u5f62\u4e88\u6e2c\u5b50\u3067\u5bfe\u5fdc\u3059\u3079\u304d\u306a\u306e\u304b\u306f\u5224\u65ad\u3067\u304d\u306a\u3044\uff0e\u6771\u4eac\uff0c\u5927\u962a\uff0c\u795e\u5948\u5ddd\u306e3\u90fd\u5e9c\u770c\u306f\u3088\u304f\u4e00\u81f4\u3057\u3066\u3044\u308b\u304c\uff0c\u4ed6\u306e\u9053\u5e9c\u770c\u3067\u306f\u4e00\u81f4\u306e\u7a0b\u5ea6\u304c\u3069\u3046\u306a\u306e\u304b\u8ad6\u6587\u3067\u306f\u7d39\u4ecb\u3055\u308c\u3066\u304a\u3089\u305a\uff0c\u6c17\u306b\u306a\u308b\uff0e\u8ad6\u6587\u8457\u8005\u306b\u805e\u3044\u3066\u307f\u305f\u3044\u3068\u3053\u308d\u3067\u3042\u308b\uff0e<\/p>\n","protected":false},"excerpt":{"rendered":"
\u3000\u4eba\u4f53\u306b\u306f\u6691\u71b1\u99b4\u5316\u3068\u3044\u3046\u6a5f\u69cb\u304c\u3042\u308b\uff0e\u6691\u3055\u306b\u4f53\u304c\u6163\u308c\u308b\u3053\u3068\u3067\u3042\u308b\uff0e\u3053\u306e\u6a5f\u69cb\u3092\u53d6\u308a\u8fbc\u3093\u3060\u30e2\u30c7\u30eb\u3092\u69cb\u7bc9\u3057\u3066\u307f\u305f\uff0e<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[2],"tags":[13317,13311,11356,4673,13308,5411,13312,5914,13310,3962,13334,5465,13309,677,13316,4672,2740,13322,7154,13407,7435,6059,11240,5085,5948,13402,11705,13401,2892,2893,13325,3616,13360,13405],"class_list":["post-17373","post","type-post","status-publish","format-standard","hentry","category-technology","tag-aic","tag-coefficients","tag-family","tag-from","tag-glm","tag-inner","tag-intercept","tag-join","tag-link","tag-log","tag-null-deviance","tag-offset","tag-poisson","tag-r","tag-residual-deviance","tag-select","tag-sql-server","tag-summary","tag-use","tag-13407","tag-7435","tag-6059","tag-11240","tag-5085","tag-5948","tag-13402","tag-11705","tag-13401","tag-2892","tag-2893","tag-13325","tag-3616","tag-13360","tag-13405"],"_links":{"self":[{"href":"https:\/\/www.muscle-hypertrophy.com\/index.php?rest_route=\/wp\/v2\/posts\/17373","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.muscle-hypertrophy.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.muscle-hypertrophy.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.muscle-hypertrophy.com\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.muscle-hypertrophy.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=17373"}],"version-history":[{"count":12,"href":"https:\/\/www.muscle-hypertrophy.com\/index.php?rest_route=\/wp\/v2\/posts\/17373\/revisions"}],"predecessor-version":[{"id":17553,"href":"https:\/\/www.muscle-hypertrophy.com\/index.php?rest_route=\/wp\/v2\/posts\/17373\/revisions\/17553"}],"wp:attachment":[{"href":"https:\/\/www.muscle-hypertrophy.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=17373"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.muscle-hypertrophy.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=17373"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.muscle-hypertrophy.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=17373"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}