{"id":17356,"date":"2023-06-22T06:00:00","date_gmt":"2023-06-21T21:00:00","guid":{"rendered":"https:\/\/www.muscle-hypertrophy.com\/?p=17356"},"modified":"2023-02-17T09:44:02","modified_gmt":"2023-02-17T00:44:02","slug":"%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%81%ab%e5%b9%b3%e5%9d%87%e9%a2%a8%e9%80%9f%e3%82%84%e5%b9%b3%e5%9d%87%e9%9b%b2%e9%87%8f%e3%81%af%e5%bd%b1%e9%9f%bf%e3%81%99","status":"publish","type":"post","link":"https:\/\/www.muscle-hypertrophy.com\/?p=17356","title":{"rendered":"\u71b1\u4e2d\u75c7\u642c\u9001\u4eba\u54e1\u6570\u306b\u5e73\u5747\u98a8\u901f\u3084\u5e73\u5747\u96f2\u91cf\u306f\u5f71\u97ff\u3059\u308b\u304b"},"content":{"rendered":"\n<p>\u3000\u71b1\u4e2d\u75c7\u642c\u9001\u4eba\u54e1\u6570\u306b\u65e5\u6700\u9ad8\u6c17\u6e29\u3068\u5e73\u5747\u6c34\u84b8\u6c17\u5727\u304c\u5f37\u304f\u5f71\u97ff\u3059\u308b\u3053\u3068\u306f\u7591\u3044\u306e\u4f59\u5730\u304c\u306a\u3044\uff0e\u4ed6\u306e\u6c17\u8c61\u6761\u4ef6\u3068\u3057\u3066\u98a8\u901f\u3084\u96f2\u91cf\u304c\u8ca0\u306e\u5f71\u97ff\u3092\u304a\u3088\u307c\u3059\u53ef\u80fd\u6027\u306f\u306a\u3044\u3060\u308d\u3046\u304b\uff0e\u8a00\u3044\u63db\u3048\u308b\u3068\uff0c\u98a8\u901f\u304c\u5f37\u3051\u308c\u3070\u71b1\u4e2d\u75c7\u3092\u767a\u75c7\u3059\u308b\u53ef\u80fd\u6027\u304c\u4e0b\u304c\u308b\u3053\u3068\u306f\u8003\u3048\u3089\u308c\u306a\u3044\u304b\uff0c\u6674\u308c\u3088\u308a\u3082\u66c7\u308a\u3084\u96e8\u306e\u65e5\u306f\u71b1\u4e2d\u75c7\u3092\u767a\u75c7\u3059\u308b\u53ef\u80fd\u6027\u304c\u4e0b\u304c\u308b\u3053\u3068\u306f\u8003\u3048\u3089\u308c\u306a\u3044\u304b\u3068\u3044\u3046\u3053\u3068\u3067\u3042\u308b\uff0e<\/p>\n<p>\u3000<a href=\"https:\/\/www.muscle-hypertrophy.com\/?p=17328\" target=\"_blank\" rel=\"noopener\">\u524d\u56de\u306e\u8a18\u4e8b<\/a>\u3067\u71b1\u4e2d\u75c7\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u306b\u5e73\u5747\u98a8\u901f\u3092\u30a4\u30f3\u30dd\u30fc\u30c8\u3057\u305f\uff0e\u8a73\u7d30\u306f\u5272\u611b\u3059\u308b\u304c\uff0c\u540c\u69d8\u306e\u624b\u9806\u3067\u5e73\u5747\u96f2\u91cf\u306e\u30c7\u30fc\u30bf\u3082\u30a4\u30f3\u30dd\u30fc\u30c8\u3067\u304d\u308b\uff0e<\/p>\n<p>\u3000\u4eca\u56de\u306f\u8aac\u660e\u5909\u6570\u3068\u3057\u3066\u65e5\u6700\u9ad8\u6c17\u6e29\uff0c\u5e73\u5747\u6c34\u84b8\u6c17\u5727\u306b\u5e73\u5747\u98a8\u901f\u304a\u3088\u3073\u5e73\u5747\u96f2\u91cf\u3092\u52a0\u3048\u3066\u4e00\u822c\u5316\u7dda\u5f62\u30e2\u30c7\u30eb\u306b\u3066\u89e3\u6790\u3092\u884c\u3044\uff0ctree\u95a2\u6570\u3067\u53ef\u8996\u5316\u3092\u8a66\u307f\u305f\uff0e<\/p>\n<p><!--more--><\/p>\n<h2>SQL Server\u304b\u3089\u30c7\u30fc\u30bf\u3092\u62bd\u51fa<\/h2>\n<h3>\u30af\u30a8\u30ea<\/h3>\n<p>\u3000\u4e0b\u8a18\u30af\u30a8\u30ea\u3092\u767a\u884c\u3057\u3066\u7d50\u679c\u3092EXCEL\u306b\u30b3\u30d4\u30da\u3057\u3066\u4fdd\u5b58\u3059\u308b\uff0e\u30d5\u30a1\u30a4\u30eb\u540d\u3092HeatStroke3.xlsx\u3068\u3059\u308b\uff0e<\/p>\n<pre>USE HeatStrokeDB;\nGO\nSELECT\tP.FiscalYear\n,\tT.\u5e74\u6708\u65e5\tAS Date\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<pre>(63725 \u884c\u51e6\u7406\u3055\u308c\u307e\u3057\u305f)<\/pre>\n<h2>R\u3067\u306e\u51e6\u7406<\/h2>\n<h3>\u30c7\u30fc\u30bf\u306e\u8aad\u307f\u8fbc\u307f<\/h3>\n<p>\u3000\u30e6\u30fc\u30b6\u30fc\u30a4\u30f3\u30bf\u30fc\u30d5\u30a7\u30fc\u30b9\u3067HeatStroke3.xlsx\u3092\u8aad\u307f\u8fbc\u3080\uff0e<\/p>\n<pre>&gt; library(readxl)\n&gt; HeatStroke3 &lt;- read_excel(\"C:\/Users\/***\/HeatStroke3.xlsx\", \n+     col_types = c(\"numeric\", \"date\", \"numeric\", \n+         \"text\", \"numeric\", \"numeric\", \"numeric\", \n+         \"numeric\", \"numeric\", \"numeric\"))<\/pre>\n<h3>\u4ea4\u4e92\u4f5c\u7528\u9805\u3092\u8003\u616e\u3057\u305f\u4e00\u822c\u5316\u7dda\u5f62\u56de\u5e30<\/h3>\n<p>\u3000\u4e0b\u8a18\u30b3\u30fc\u30c9\u3092\u5b9f\u884c\u3057\u3066\u5909\u6570y, x1, x2, x3, x4\u306b\u305d\u308c\u305e\u308c\u71b1\u4e2d\u75c7\u642c\u9001\u4eba\u54e1\u6570\uff0c\u65e5\u6700\u9ad8\u6c17\u6e29\uff0c\u5e73\u5747\u6c34\u84b8\u6c17\u5727\uff0c\u5e73\u5747\u98a8\u901f\u304a\u3088\u3073\u5e73\u5747\u96f2\u91cf\u3092\u4ee3\u5165\u3059\u308b\uff0e<\/p>\n<pre>&gt; y = HeatStroke3$Num\n&gt; x1 = HeatStroke3$Temp\n&gt; x2 = HeatStroke3$Vapor\n&gt; x3 = HeatStroke3$Wind\n&gt; x4 = HeatStroke3$Cloud<\/pre>\n<p>\u3000\u4e0b\u8a18\u30b3\u30fc\u30c9\u3092\u5b9f\u884c\u3057\u3066\u30dd\u30a2\u30bd\u30f3\u5206\u5e03\u306b\u3088\u308b\u4e00\u822c\u5316\u7dda\u5f62\u56de\u5e30\u5206\u6790\u3092\u884c\u3046\uff0e\u30a2\u30b9\u30bf\u30ea\u30b9\u30af\u306f\u5909\u6570\u9593\u306e\u4ea4\u4e92\u4f5c\u7528\u3092\u793a\u3057\uff0cI()\u3067\u56f2\u3093\u3060\u5185\u5bb9\u306f\u3079\u304d\u4e57\u3092\u793a\u3057\u3066\u3044\u308b\uff0e\u3053\u308c\u306f\u5909\u6570\u306e\u4ea4\u4e92\u4f5c\u7528\u9805\u3092\u6700\u5927\u9650\u53d6\u308a\u5165\u308c\u305f\u6700\u5927\u30e2\u30c7\u30eb\u3067\u3042\u308b\uff0e<\/p>\n<pre>&gt; w = glm(y ~ x1*x2*x3*x4 + I(x1^3) + I(x2^3) + I(x3^3) + I(x4^3) + I(x1^2) + I(x2^2) + I(x3^2) + I(x4^2), family = poisson(link = \"log\"))\n&gt; summary(w)<\/pre>\n<p>\u3000\u4e0b\u8a18\u304c\u8981\u7d04\u306e\u7d50\u679c\u3067\u3042\u308b\uff0e<\/p>\n<pre>Call:\nglm(formula = y ~ x1 * x2 * x3 * x4 + I(x1^3) + I(x2^3) + I(x3^3) + \n    I(x4^3) + I(x1^2) + I(x2^2) + I(x3^2) + I(x4^2), family = poisson(link = \"log\"))\n\nDeviance Residuals: \n     Min        1Q    Median        3Q       Max  \n-10.2530   -1.8464   -0.8799    0.5294   31.1361  \n\nCoefficients:\n              Estimate Std. Error z value Pr(&gt;|z|)    \n(Intercept) -3.210e+00  8.736e-01  -3.674 0.000239 ***\nx1           4.616e-01  6.442e-02   7.166 7.74e-13 ***\nx2          -5.519e-01  2.738e-02 -20.159  &lt; 2e-16 ***\nx3          -1.305e+00  1.921e-01  -6.794 1.09e-11 ***\nx4          -3.599e-01  7.864e-02  -4.576 4.74e-06 ***\nI(x1^3)      1.297e-04  2.085e-05   6.224 4.85e-10 ***\nI(x2^3)     -1.578e-04  8.156e-06 -19.352  &lt; 2e-16 ***\nI(x3^3)      3.671e-03  5.739e-05  63.970  &lt; 2e-16 ***\nI(x4^3)     -1.013e-03  7.300e-05 -13.877  &lt; 2e-16 ***\nI(x1^2)     -1.279e-02  1.952e-03  -6.551 5.71e-11 ***\nI(x2^2)      1.363e-02  5.742e-04  23.744  &lt; 2e-16 ***\nI(x3^2)     -9.989e-02  1.439e-03 -69.428  &lt; 2e-16 ***\nI(x4^2)      1.692e-02  1.204e-03  14.054  &lt; 2e-16 ***\nx1:x2        8.065e-03  8.006e-04  10.073  &lt; 2e-16 ***\nx1:x3        5.922e-02  6.295e-03   9.407  &lt; 2e-16 ***\nx2:x3        8.176e-02  8.093e-03  10.104  &lt; 2e-16 ***\nx1:x4        8.070e-03  2.598e-03   3.106 0.001894 ** \nx2:x4        7.384e-03  3.231e-03   2.285 0.022301 *  \nx3:x4        2.217e-01  2.546e-02   8.707  &lt; 2e-16 ***\nx1:x2:x3    -2.493e-03  2.583e-04  -9.651  &lt; 2e-16 ***\nx1:x2:x4    -2.007e-04  1.042e-04  -1.926 0.054049 .  \nx1:x3:x4    -6.516e-03  8.489e-04  -7.676 1.64e-14 ***\nx2:x3:x4    -9.417e-03  1.053e-03  -8.945  &lt; 2e-16 ***\nx1:x2:x3:x4  2.621e-04  3.426e-05   7.649 2.03e-14 ***\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: 1081688  on 63724  degrees of freedom\nResidual deviance:  470950  on 63701  degrees of freedom\nAIC: 635242\n\nNumber of Fisher Scoring iterations: 16<\/pre>\n<h3>\u89e3\u91c8<\/h3>\n<p>\u3000\u4e0a\u8a18\u7d50\u679c\u306f\u89e3\u91c8\u304c\u96e3\u3057\u3044\uff0e\u4ea4\u4e92\u4f5c\u7528\u9805\u307b\u3068\u3093\u3069\u3059\u3079\u3066\u304c\u6709\u610f\u3068\u306a\u3063\u3066\u3044\u308b\uff0e\u3057\u304b\u3057\u4e00\u3064\u4e00\u3064\u898b\u3066\u3044\u304f\u3068\uff0c\u304a\u304b\u3057\u3044\u3068\u601d\u308f\u308c\u308b\u56de\u5e30\u4fc2\u6570\u304c\u5b58\u5728\u3059\u308b\u3053\u3068\u304c\u308f\u304b\u308b\uff0e\u307e\u305a\u6ce8\u76ee\u3059\u3079\u304d\u306f\u7b26\u53f7\u3067\u3042\u308b\uff0e<\/p>\n<p>\u3000\u7b26\u53f7\u304c\u6b63\u306e\u5834\u5408\u306f\u305d\u306e\u5909\u6570\u304c\u5897\u52a0\u3059\u308b\u3068\uff0c\u642c\u9001\u4eba\u54e1\u6570\u3092\u5897\u52a0\u3055\u305b\u308b\u65b9\u5411\u306b\u4f5c\u7528\u3059\u308b\uff0e\u9006\u306b\u7b26\u53f7\u304c\u8ca0\u306e\u5834\u5408\u306f\u305d\u306e\u5909\u6570\u304c\u5897\u52a0\u3059\u308b\u3068\uff0c\u642c\u9001\u4eba\u54e1\u6570\u3092\u6e1b\u5c11\u3055\u305b\u308b\u65b9\u5411\u306b\u4f5c\u7528\u3059\u308b\uff0e1\u6b21\u306e\u9805\u3092\u898b\u3066\u307f\u308b\u3068\uff0c\u6700\u9ad8\u6c17\u6e29\u4ee5\u5916\u306e\u5909\u6570\u304c\u5897\u52a0\u3059\u308b\u3068\u642c\u9001\u4eba\u54e1\u6570\u3092\u6e1b\u5c11\u3055\u305b\u308b\u65b9\u5411\u306b\u4f5c\u7528\u3059\u308b\u3053\u3068\u306b\u306a\u308b\uff0e\u3064\u307e\u308a\u5e73\u5747\u6c34\u84b8\u6c17\u5727\u304c\u5897\u52a0\u3059\u308b\u3068\u642c\u9001\u4eba\u54e1\u6570\u304c\u6e1b\u5c11\u3059\u308b\u3053\u3068\u306b\u306a\u308b\uff0e\u3053\u308c\u306f\u5e38\u8b58\u304b\u3089\u8003\u3048\u3066\u304a\u304b\u3057\u3044\uff0e\u5e73\u5747\u98a8\u901f\u3068\u5e73\u5747\u96f2\u91cf\u306b\u3064\u3044\u3066\u306f\u3068\u308a\u3042\u3048\u305a\u5224\u65ad\u3092\u4fdd\u7559\u3059\u308b\uff0e<\/p>\n<p>\u30002\u6b21\u306e\u9805\u304a\u3088\u30733\u6b21\u306e\u9805\u306b\u3064\u3044\u3066\u306f\u7d44\u307f\u5408\u308f\u305b\u306b\u3088\u3063\u3066\u7b26\u53f7\u304c\u5909\u308f\u308a\uff0c\u5b89\u5b9a\u3057\u306a\u3044\uff0e<\/p>\n<p>\u3000\u6b21\u306b\u6ce8\u76ee\u3059\u308b\u306e\u306f\u63a8\u5b9a\u5024\u306e\u5927\u304d\u3055\u3067\u3042\u308b\uff0e2\u6b21\uff0c3\u6b21\u306e\u9805\u306f10\u306e\u30de\u30a4\u30ca\u30b92\u4e57\u304b\u3089\u30de\u30a4\u30ca\u30b93\u4e57\uff0c\u3064\u307e\u308a\u30bc\u30ed\u306b\u8fd1\u3044\uff0e\u6307\u6570\u95a2\u6570\u306e\u30bc\u30ed\u4e57\u306f\u307b\u3068\u3093\u30691\u3067\u3042\u308b\u3053\u3068\u3092\u610f\u5473\u3059\u308b\uff0e\u30b5\u30f3\u30d7\u30eb\u30b5\u30a4\u30ba\u304c6.3\u4e07\u3068\u6975\u3081\u3066\u5927\u304d\u304f\uff0c\u81e8\u5e8a\u7684\u306b\u610f\u5473\u306e\u306a\u3044\u7d71\u8a08\u7684\u6709\u610f\u6027\u304c\u51fa\u3066\u3057\u307e\u3063\u305f\u53ef\u80fd\u6027\u304c\u3042\u308b\uff0e<\/p>\n<h3>step\u95a2\u6570\u3067\u5909\u6570\u3092\u6e1b\u5c11\u3055\u305b\u3089\u308c\u308b\u304b<\/h3>\n<p>\u3000step\u95a2\u6570\u3067\u5909\u6570\u6e1b\u5c11\u3092\u8a66\u307f\u308b\uff0e<\/p>\n<pre>&gt; w1 = step(w)<\/pre>\n<p>\u3000\u3057\u304b\u3057\uff0c\u7d50\u679c\u306f\u4ee5\u4e0b\u306e\u3088\u3046\u3067\u3042\u308a\uff0c\u3059\u3079\u3066\u306e\u5909\u6570\u304c\u4fdd\u5b58\u3055\u308c\u3066\u3044\u308b\uff0esummary\u95a2\u6570\u3067\u8981\u7d04\u3057\u3066\u3082\u5909\u6570\u306b\u5909\u5316\u306f\u306a\u3044\uff0e<\/p>\n<pre>Start:  AIC=635242.4\ny ~ x1 * x2 * x3 * x4 + I(x1^3) + I(x2^3) + I(x3^3) + I(x4^3) + \n    I(x1^2) + I(x2^2) + I(x3^2) + I(x4^2)\n\n              Df Deviance    AIC\n             470950 635242\n- I(x1^3)      1   470990 635280\n- I(x1^2)      1   470994 635285\n- x1:x2:x3:x4  1   471009 635299\n- I(x4^3)      1   471142 635432\n- I(x4^2)      1   471146 635437\n- I(x2^3)      1   471316 635606\n- I(x2^2)      1   471491 635782\n- I(x3^3)      1   472259 636549\n- I(x3^2)      1   473801 638091<\/pre>\n<h3>\u6700\u5c0f\u30e2\u30c7\u30eb\u3067\u306f\u3069\u3046\u304b<\/h3>\n<p>\u3000\u4e00\u65b9\uff0c1\u6b21\u306e\u307f\u306e\u6700\u5c0f\u30e2\u30c7\u30eb\u3067\u306f\u3069\u3046\u306a\u308b\u304b\uff0e\u3059\u3079\u3066\u306e\u8aac\u660e\u5909\u6570\u304c\u6709\u610f\u3067\u3042\u308a\uff0c\u5e73\u5747\u98a8\u901f\u3068\u5e73\u5747\u96f2\u91cf\u306f\u642c\u9001\u4eba\u54e1\u6570\u306b\u8ca0\u306e\u5f71\u97ff\u3092\u53ca\u307c\u3057\u3066\u3044\u308b\uff0e\u3057\u304b\u3057AIC\u3060\u3051\u3067\u6bd4\u8f03\u3059\u308b\u3068\u6700\u5c0f\u30e2\u30c7\u30eb\u306e\u4e88\u6e2c\u6027\u80fd\u306f\u6700\u5927\u30e2\u30c7\u30eb\u3088\u308a\u3082\u4f4e\u304f\u306a\u308b\uff0e<\/p>\n<pre>&gt; z = glm(y ~ x1 + x2 + x3 + x4, family = poisson(link = \"log\"))\n&gt; summary(z)\n\nCall:\nglm(formula = y ~ x1 + x2 + x3 + x4, family = poisson(link = \"log\"))\n\nDeviance Residuals: \n   Min      1Q  Median      3Q     Max  \n-9.937  -1.902  -0.864   0.571  32.190  \n\nCoefficients:\n              Estimate Std. Error z value Pr(&gt;|z|)    \n(Intercept) -7.5387653  0.0197868 -381.00   &lt;2e-16 ***\nx1           0.2627224  0.0005947  441.79   &lt;2e-16 ***\nx2           0.0662424  0.0004304  153.92   &lt;2e-16 ***\nx3          -0.0276705  0.0012951  -21.36   &lt;2e-16 ***\nx4          -0.0372499  0.0005563  -66.96   &lt;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: 1081688  on 63724  degrees of freedom\nResidual deviance:  486213  on 63720  degrees of freedom\nAIC: 650468\n\nNumber of Fisher Scoring iterations: 5<\/pre>\n<h3>tree\u95a2\u6570\u306b\u3088\u308b\u53ef\u8996\u5316<\/h3>\n<p>\u3000\u8996\u70b9\u3092\u5909\u3048\u3066\u307f\u308b\uff0e\u6a39\u6728\u30e2\u30c7\u30eb\u3092\u5f53\u3066\u306f\u3081\u3066\u8aac\u660e\u5909\u6570\u9593\u306b\u8907\u96d1\u306a\u4ea4\u4e92\u4f5c\u7528\u304c\u306a\u3044\u304b\u8abf\u3079\u3066\u307f\u308b\uff0e<\/p>\n<pre>&gt; library(tree)\n&gt; z = tree(y ~ x1 + x2 + x3 + x4)\n&gt; plot(z)\n&gt; text(z)<\/pre>\n<figure id=\"attachment_17360\" aria-describedby=\"caption-attachment-17360\" style=\"width: 710px\" class=\"wp-caption aligncenter\"><a href=\"https:\/\/www.muscle-hypertrophy.com\/wp-content\/uploads\/2023\/02\/30.png\"><img loading=\"lazy\" decoding=\"async\" class=\"size-full wp-image-17360\" src=\"https:\/\/www.muscle-hypertrophy.com\/wp-content\/uploads\/2023\/02\/30.png\" alt=\"tree\u95a2\u6570\u3067\u6a39\u6728\u30e2\u30c7\u30eb\u3092\u3042\u3066\u306f\u3081\u308b\" width=\"710\" height=\"581\" srcset=\"https:\/\/www.muscle-hypertrophy.com\/wp-content\/uploads\/2023\/02\/30.png 710w, https:\/\/www.muscle-hypertrophy.com\/wp-content\/uploads\/2023\/02\/30-300x245.png 300w\" sizes=\"auto, (max-width: 710px) 100vw, 710px\" \/><\/a><figcaption id=\"caption-attachment-17360\" class=\"wp-caption-text\">tree\u95a2\u6570\u3067\u6a39\u6728\u30e2\u30c7\u30eb\u3092\u3042\u3066\u306f\u3081\u308b<\/figcaption><\/figure>\n<p>\u3000x1\u3068x2\u4ee5\u5916\u306e\u8aac\u660e\u5909\u6570\u306f\u642c\u9001\u4eba\u54e1\u6570\u306b\u5bc4\u4e0e\u3057\u3066\u3044\u306a\u3044\u3053\u3068\u304c\u308f\u304b\u308b\uff0e\u3064\u307e\u308a\uff0c\u65e5\u6700\u9ad8\u6c17\u6e29\u3068\u5e73\u5747\u6c34\u84b8\u6c17\u5727\u4ee5\u5916\u306b\u642c\u9001\u4eba\u54e1\u6570\u306b\u5f71\u97ff\u3059\u308b\u56e0\u5b50\u306f\u306a\u3044\uff0e\u6700\u9ad8\u6c17\u6e29\u304c30.65\u2103\u4ee5\u4e0b\u3067\u306f1\u65e5\u306b\u7d042\u540d\uff0e30.65\u2103\u4ee5\u4e0a33.05\u2103\u672a\u6e80\u3067\u306f\u7d049.5\u540d\uff0e\u6700\u9ad8\u6c17\u6e29\u304c33.05\u2103\u4ee5\u4e0a36.65\u2103\u672a\u6e80\u3067\u306f\u5e73\u5747\u6c34\u84b8\u6c17\u5727\u304c28.65mmHg\u672a\u6e80\u3067\u7d0419\u540d\uff0c\u5e73\u5747\u6c34\u84b8\u6c17\u5727\u304c28.65mmHg\u4ee5\u4e0a\u3067\u7d0429\u540d\uff0e\u6700\u9ad8\u6c17\u6e29\u304c36.65\u2103\u4ee5\u4e0a\u3067\u306f\u7d0448\u540d\u304c\u642c\u9001\u3055\u308c\u308b\uff0e\u3068\u3044\u3046\u610f\u5473\u306b\u306a\u308b\uff0e<\/p>\n<h3>\u30aa\u30c3\u30ab\u30e0\u306e\u5243\u5200<\/h3>\n<p>\u3000\u30aa\u30c3\u30ab\u30e0\u306e\u5243\u5200\u3068\u306f\u300c\u3042\u308b\u4e8b\u67c4\u3092\u8aac\u660e\u3059\u308b\u305f\u3081\u306b\u306f\uff0c\u5fc5\u8981\u4ee5\u4e0a\u306b\u591a\u304f\u3092\u4eee\u5b9a\u3059\u308b\u3079\u304d\u3067\u306a\u3044\u300d\u3068\u3059\u308b\u6307\u91dd\u306e\u3053\u3068\u3067\u3042\u308b\uff0e\u4eca\u56de\u96f2\u91cf\u3084\u98a8\u901f\u306b\u95a2\u3057\u3066\u306f\u8003\u5bdf\u304c\u4e0d\u5341\u5206\u3060\u304c\uff0c\u8aac\u660e\u5909\u6570\u3068\u3057\u3066\u63a1\u7528\u3059\u308b\u306e\u306f\u898b\u9001\u308b\u65b9\u91dd\u3068\u3057\u305f\uff0e<\/p>\n<h2>\u307e\u3068\u3081<\/h2>\n<p>\u3000\u4ea4\u4e92\u4f5c\u7528\u9805\u3092\u8003\u616e\u3057\u305f\u6700\u5927\u30e2\u30c7\u30eb\u3067\u306f\u7b26\u53f7\u306e\u6b63\u8ca0\uff0c\u63a8\u5b9a\u5024\u306e\u5927\u304d\u3055\u306b\u7591\u554f\u304c\u3042\u308a\uff0c\u5909\u6570\u3092\u6e1b\u5c11\u3055\u305b\u308b\u5fc5\u8981\u304c\u3042\u308b\u3068\u8003\u3048\u3089\u308c\u308b\u304c\uff0c\u305d\u306e\u5b9f\u8df5\u306f\u96e3\u3057\u3044\uff0e\u4e00\u65b9\uff0c\u6700\u5c0f\u30e2\u30c7\u30eb\u3067\u306f\u3059\u3079\u3066\u306e\u5909\u6570\u304c\u6709\u610f\u3068\u306a\u3063\u305f\u304c\u4e88\u6e2c\u6027\u80fd\u304c\u4e0d\u8db3\u3057\u3066\u3044\u308b\uff0e<\/p>\n<p>\u3000\u6a39\u6728\u30e2\u30c7\u30eb\u306b\u3088\u308b\u3068\u642c\u9001\u4eba\u54e1\u6570\u306b\u5f71\u97ff\u3059\u308b\u306e\u306f\u65e5\u6700\u9ad8\u6c17\u6e29\u3068\u5e73\u5747\u6c34\u84b8\u6c17\u5727\u306e\u307f\u3067\u3042\u308b\uff0e<\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u3000\u71b1\u4e2d\u75c7\u642c\u9001\u4eba\u54e1\u6570\u306b\u65e5\u6700\u9ad8\u6c17\u6e29\u3068\u5e73\u5747\u6c34\u84b8\u6c17\u5727\u304c\u5f37\u304f\u5f71\u97ff\u3059\u308b\u3053\u3068\u306f\u7591\u3044\u306e\u4f59\u5730\u304c\u306a\u3044\uff0e\u4ed6\u306e\u6c17\u8c61\u6761\u4ef6\u3068\u3057\u3066\u98a8\u901f\u3084\u96f2\u91cf\u304c\u8ca0\u306e\u5f71\u97ff\u3092\u304a\u3088\u307c\u3059\u53ef\u80fd\u6027\u306f\u306a\u3044\u3060\u308d\u3046\u304b\uff0e\u8a00\u3044\u63db\u3048\u308b\u3068\uff0c\u98a8\u901f\u304c\u5f37\u3051\u308c\u3070\u71b1\u4e2d\u75c7\u3092\u767a\u75c7\u3059\u308b\u53ef\u80fd\u6027\u304c\u4e0b\u304c\u308b\u3053\u3068\u306f\u8003\u3048 &hellip; <\/p>\n<p class=\"link-more\"><a href=\"https:\/\/www.muscle-hypertrophy.com\/?p=17356\" class=\"more-link\"><span class=\"screen-reader-text\">&#8220;\u71b1\u4e2d\u75c7\u642c\u9001\u4eba\u54e1\u6570\u306b\u5e73\u5747\u98a8\u901f\u3084\u5e73\u5747\u96f2\u91cf\u306f\u5f71\u97ff\u3059\u308b\u304b&#8221; \u306e<\/span>\u7d9a\u304d\u3092\u8aad\u3080<\/a><\/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":[13393,13394,13395,13317,3559,13313,265,11356,4673,13308,4000,13312,13327,13310,3962,7096,13309,677,13368,13392,4672,2740,13314,5823,13322,13396,7154,5230,2980,2861,426,2783,1566,11311,4845,13356,13399,13390,13268,5607,11240,13389,13378,5085,5852,13391,13400,1609,13397,5606,2893,13325,3616,4955,13398],"class_list":["post-17356","post","type-post","status-publish","format-standard","hentry","category-technology","tag-13393","tag-13394","tag-13395","tag-aic","tag-and","tag-estimate","tag-excel","tag-family","tag-from","tag-glm","tag-inner-join","tag-intercept","tag-library","tag-link","tag-log","tag-on","tag-poisson","tag-r","tag-readxl","tag-residual-devience","tag-select","tag-sql-server","tag-std-error","tag-step","tag-summary","tag-tree","tag-use","tag-5230","tag-2980","tag-2861","tag-426","tag-2783","tag-1566","tag-11311","tag-4845","tag-13356","tag-13399","tag-13390","tag-13268","tag-5607","tag-11240","tag-13389","tag-13378","tag-5085","tag-5852","tag-13391","tag-13400","tag-1609","tag-13397","tag-5606","tag-2893","tag-13325","tag-3616","tag-4955","tag-13398"],"_links":{"self":[{"href":"https:\/\/www.muscle-hypertrophy.com\/index.php?rest_route=\/wp\/v2\/posts\/17356","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=17356"}],"version-history":[{"count":11,"href":"https:\/\/www.muscle-hypertrophy.com\/index.php?rest_route=\/wp\/v2\/posts\/17356\/revisions"}],"predecessor-version":[{"id":17388,"href":"https:\/\/www.muscle-hypertrophy.com\/index.php?rest_route=\/wp\/v2\/posts\/17356\/revisions\/17388"}],"wp:attachment":[{"href":"https:\/\/www.muscle-hypertrophy.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=17356"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.muscle-hypertrophy.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=17356"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.muscle-hypertrophy.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=17356"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}