{"id":10821,"date":"2026-09-22T06:00:00","date_gmt":"2026-09-21T21:00:00","guid":{"rendered":"https:\/\/triumphmind.com\/cfa\/2026\/09\/22\/cfa-l2-quants-lm4\/"},"modified":"2026-09-22T07:05:27","modified_gmt":"2026-09-21T22:05:27","slug":"cfa-l2-quants-lm4","status":"publish","type":"post","link":"https:\/\/triumphmind.com\/cfa\/2026\/09\/22\/cfa-l2-quants-lm4\/","title":{"rendered":"\u3010CFA\u00ae\ufe0e L2 Quants LM4\u3011Extensions of Multiple Regression \u3092\u8981\u70b9\u89e3\u8aac\uff5c\u5f71\u97ff\u529b\u306e\u5927\u304d\u3044\u89b3\u6e2c\u5024\u30fb\u30c0\u30df\u30fc\u5909\u6570\u30fb\u30ed\u30b8\u30b9\u30c6\u30a3\u30c3\u30af\u56de\u5e30"},"content":{"rendered":"<style>\n.cfalm-los{counter-reset:los;list-style:none;padding:0!important;margin:1em 0!important}\n.cfalm-los li{border:1px solid #d5d9e3;border-left:4px solid #172152;border-radius:4px;padding:.8em 1em!important;margin:0 0 .8em!important;background:#fff}\n.cfalm-los li::before{display:none!important;content:none!important}\n.cfalm-los .ja{display:block;font-weight:bold;color:#172152;line-height:1.6}\n.cfalm-los .en{display:block;font-size:.85em;color:#667;margin-top:.3em;line-height:1.5;word-break:normal!important;overflow-wrap:anywhere}\n.cfalm-sum{background:#f6f7fb;border-radius:6px;padding:1em 1.2em!important;margin:1em 0!important;list-style:none!important}\n.cfalm-sum li{position:relative;margin:.4em 0!important;padding:0 0 0 1.1em!important;line-height:1.7;list-style:none!important}.cfalm-sum li::before{content:\"\"!important;display:block!important;position:absolute!important;left:0!important;top:.7em!important;width:6px!important;height:6px!important;border-radius:50%!important;background:#172152!important;border:none!important;transform:none!important}\n.cfalm-f{background:#f6f7fb;border-left:4px solid #172152;padding:.7em 1em;margin:.8em 0;font-family:\"Menlo\",\"Consolas\",monospace;font-size:.95em;overflow-x:auto}\n.cfalm-nav{background:#f6f7fb;padding:1em 1.2em;border-radius:6px;margin:1em 0;word-break:normal;overflow-wrap:anywhere}\n<\/style>\n<div class=\"box05\">\n<p>Learning Module 4\u300cExtensions of Multiple Regression\uff08\u91cd\u56de\u5e30\u306e\u62e1\u5f35\uff09\u300d\u306f\u3001\u56de\u5e30\u7d50\u679c\u3092\u5927\u304d\u304f\u52d5\u304b\u3059\u89b3\u6e2c\u5024\uff08\u9ad8\u30ec\u30d0\u30ec\u30c3\u30b8\u70b9\u30fb\u5916\u308c\u5024\uff09\u306e\u898b\u3064\u3051\u65b9\u3001\u30c0\u30df\u30fc\u5909\u6570\u306b\u3088\u308b\u5b9a\u6027\u7684\u306a\u72ec\u7acb\u5909\u6570\u306e\u6271\u3044\u3001\u305d\u3057\u3066\u4e8c\u5024\u306e\u5f93\u5c5e\u5909\u6570\u3092\u6271\u3046\u30ed\u30b8\u30b9\u30c6\u30a3\u30c3\u30af\u56de\u5e30\u3092\u6271\u3046\u5358\u5143\u3067\u3059\u3002<\/p>\n<p>\u672c\u8a18\u4e8b\u3067\u306f\u3001\u6700\u65b0\u7248\u30ab\u30ea\u30ad\u30e5\u30e9\u30e0\u306eLOS\uff08Learning Outcome Statement\uff09\u3068\u3001\u3053\u306e\u5358\u5143\u306e\u91cd\u8981\u8ad6\u70b9\u3092\u65e5\u672c\u8a9e\u3067\u6574\u7406\u3057\u307e\u3057\u305f\u3002<\/p>\n<\/div>\n<h2>LM4\u306eLOS\uff08\u5b66\u7fd2\u76ee\u6a19\uff09<\/h2>\n<p>LOS\u306f\u3001\u3053\u306e\u5358\u5143\u3067\u300c\u3067\u304d\u308b\u3088\u3046\u306b\u306a\u308b\u3079\u304d\u3053\u3068\u300d\u3068\u3057\u3066\u793a\u3055\u308c\u3066\u3044\u308b\u5b66\u7fd2\u76ee\u6a19\u3067\u3059\u3002LM4\u306b\u306f3\u3064\u306eLOS\u304c\u3042\u308a\u307e\u3059\u3002<\/p>\n<ol class=\"cfalm-los\">\n<li><span class=\"ja\">LOS 1\uff1a\u5f71\u97ff\u5206\u6790\u3068\u3001\u5f71\u97ff\u529b\u306e\u5927\u304d\u3044\u30c7\u30fc\u30bf\u70b9\u3092\u767a\u898b\u3059\u308b\u65b9\u6cd5\u3092\u8aac\u660e\u3059\u308b<\/span><span class=\"en\">describe influence analysis and methods of detecting influential data points<\/span><\/li>\n<li><span class=\"ja\">LOS 2\uff1a\u5b9a\u6027\u7684\u306a\u72ec\u7acb\u5909\u6570\u3092\u542b\u3080\u91cd\u56de\u5e30\u30e2\u30c7\u30eb\u3092\u5b9a\u5f0f\u5316\u30fb\u89e3\u91c8\u3059\u308b<\/span><span class=\"en\">formulate and interpret a multiple regression model that includes qualitative independent variables<\/span><\/li>\n<li><span class=\"ja\">LOS 3\uff1a\u30ed\u30b8\u30b9\u30c6\u30a3\u30c3\u30af\u56de\u5e30\u30e2\u30c7\u30eb\u3092\u5b9a\u5f0f\u5316\u30fb\u89e3\u91c8\u3059\u308b<\/span><span class=\"en\">formulate and interpret a logistic regression model<\/span><\/li>\n<\/ol>\n<h2>LM4\u306e\u307e\u3068\u3081<\/h2>\n<p>\u3053\u306e\u5358\u5143\u306e\u8981\u70b9\u3092\u307e\u3068\u3081\u308b\u3068\u3001\u6b21\u306e\u3068\u304a\u308a\u3067\u3059\u3002<\/p>\n<ul class=\"cfalm-sum\">\n<li>\u56de\u5e30\u7d50\u679c\u306b\u5f71\u97ff\u3057\u5f97\u308b\u89b3\u6e2c\u5024\u306f\u3001\u72ec\u7acb\u5909\u6570\u304c\u6975\u7aef\u306a\u9ad8\u30ec\u30d0\u30ec\u30c3\u30b8\u70b9\u3068\u3001\u5f93\u5c5e\u5909\u6570\u304c\u6975\u7aef\u306a\u5916\u308c\u5024\u306e2\u7a2e\u985e<\/li>\n<li>\u9ad8\u30ec\u30d0\u30ec\u30c3\u30b8\u70b9\u306f\u30ec\u30d0\u30ec\u30c3\u30b8\u3067\u6e2c\u308a\u30013(k+1)\/n \u3092\u8d85\u3048\u308b\u3068\u5f71\u97ff\u529b\u304c\u3042\u308b\u53ef\u80fd\u6027<\/li>\n<li>\u5916\u308c\u5024\u306f\u30b9\u30c1\u30e5\u30fc\u30c7\u30f3\u30c8\u5316\u6b8b\u5dee\u3067\u6e2c\u308a\u3001\u81ea\u7531\u5ea6 n\u2212k\u22122 \u306e t \u5206\u5e03\u306e\u81e8\u754c\u5024\u3092\u8d85\u3048\u308b\u3068\u5f71\u97ff\u529b\u304c\u3042\u308b\u53ef\u80fd\u6027<\/li>\n<li>\u30c0\u30df\u30fc\u5909\u6570\u306f\u6761\u4ef6\u306b\u5f53\u3066\u306f\u307e\u308c\u30701\u3001\u305d\u3046\u3067\u306a\u3051\u308c\u30700\u3092\u3068\u308b\u3002n \u500b\u306e\u30ab\u30c6\u30b4\u30ea\u30fc\u306b\u306f n\u22121 \u500b\u306e\u30c0\u30df\u30fc\u3092\u4f7f\u3046<\/li>\n<li>\u5207\u7247\u30c0\u30df\u30fc\u306f\u56de\u5e30\u76f4\u7dda\u3092\u5e73\u884c\u79fb\u52d5\u3055\u305b\u3001\u50be\u304d\u30c0\u30df\u30fc\u306f\u6761\u4ef6\u306b\u5f53\u3066\u306f\u307e\u308b\u3068\u304d\u306e\u50be\u304d\u3092\u5909\u5316\u3055\u305b\u308b<\/li>\n<li>\u30ed\u30b8\u30b9\u30c6\u30a3\u30c3\u30af\u56de\u5e30\u306f\u5f93\u5c5e\u5909\u6570\u304c\u5b9a\u6027\u7684\uff08\u4e8c\u5024\u306a\u3069\uff09\u306a\u30e2\u30c7\u30eb\u3067\u3001\u6a5f\u68b0\u5b66\u7fd2\u306e\u5206\u985e\u554f\u984c\u3067\u3082\u3088\u304f\u4f7f\u308f\u308c\u308b<\/li>\n<li>\u4e8b\u8c61\u306e\u78ba\u7387\u3092\u30ed\u30b0\u30fb\u30aa\u30c3\u30ba ln[P\/(1\u2212P)] \u306b\u5909\u63db\u3057\u3066\u72ec\u7acb\u5909\u6570\u3068\u306e\u95a2\u4fc2\u3092\u7dda\u5f62\u5316\u3057\u3001\u6700\u5c24\u6cd5\u3067\u63a8\u5b9a\u3059\u308b<\/li>\n<\/ul>\n<p>\u4ee5\u4e0b\u3001LOS\u3054\u3068\u306b\u91cd\u8981\u8ad6\u70b9\u3092\u6574\u7406\u3057\u307e\u3059\u3002<\/p>\n<h3>LOS 1\uff1a\u5f71\u97ff\u5206\u6790\u3068\u5f71\u97ff\u529b\u306e\u5927\u304d\u3044\u89b3\u6e2c\u5024<\/h3>\n<p>\u5c11\u6570\u306e\u89b3\u6e2c\u5024\u304c\u56de\u5e30\u7d50\u679c\u3092\u5927\u304d\u304f\u5de6\u53f3\u3059\u308b\u3053\u3068\u304c\u3042\u308a\u307e\u3059\u3002\u72ec\u7acb\u5909\u6570\u304c\u6975\u7aef\u306a<strong>\u9ad8\u30ec\u30d0\u30ec\u30c3\u30b8\u70b9<\/strong>\u3001\u5f93\u5c5e\u5909\u6570\u304c\u6975\u7aef\u306a<strong>\u5916\u308c\u5024<\/strong>\u3092\u898b\u3064\u3051\u3001\u4e21\u65b9\u3092\u7dcf\u5408\u3057\u305f<strong>\u30af\u30c3\u30af\u306e\u8ddd\u96e2\uff08Cook&#8217;s D\uff09<\/strong>\u3067\u5f71\u97ff\u5ea6\u3092\u5224\u65ad\u3057\u307e\u3059\u3002<\/p>\n<ul>\n<li>\u30ec\u30d0\u30ec\u30c3\u30b8\uff08hii\uff09\uff1a\u305d\u306e\u89b3\u6e2c\u5024\u306e\u72ec\u7acb\u5909\u6570\u304c\u5e73\u5747\u304b\u3089\u3069\u308c\u3060\u3051\u96e2\u308c\u3066\u3044\u308b\u304b\uff080\u301c1\uff09<\/li>\n<li>\u30ec\u30d0\u30ec\u30c3\u30b8 > 3(k+1)\/n \u306a\u3089\u5f71\u97ff\u529b\u306e\u53ef\u80fd\u6027<\/li>\n<li>\u30b9\u30c1\u30e5\u30fc\u30c7\u30f3\u30c8\u5316\u6b8b\u5dee\uff1a\u305d\u306e\u89b3\u6e2c\u5024\u3092\u9664\u3044\u3066\u63a8\u5b9a\u3057\u305f\u30e2\u30c7\u30eb\u306e\u6b8b\u5dee\u3092\u6a19\u6e96\u8aa4\u5dee\u3067\u5272\u3063\u305f\u3082\u306e<\/li>\n<li>|\u30b9\u30c1\u30e5\u30fc\u30c7\u30f3\u30c8\u5316\u6b8b\u5dee| \u304c t \u306e\u81e8\u754c\u5024\uff08\u81ea\u7531\u5ea6 n\u2212k\u22122\uff09\u3092\u8d85\u3048\u308c\u3070\u5f71\u97ff\u529b\u306e\u53ef\u80fd\u6027<\/li>\n<li>\u30af\u30c3\u30af\u306e\u8ddd\u96e2\uff1a0.5\u8d85\u3067\u5f71\u97ff\u529b\u306e\u53ef\u80fd\u6027\u30011\u8d85\u3067\u9ad8\u3044\u53ef\u80fd\u6027\u3001\u307e\u305f\u306f 2\u221a(k\/n) \u8d85<\/li>\n<\/ul>\n<div class=\"cfalm-f\">\u30ec\u30d0\u30ec\u30c3\u30b8\u306e\u76ee\u5b89\uff1ahii > 3 \u00d7 (k + 1) \/ n<\/div>\n<h3>LOS 2\uff1a\u5b9a\u6027\u7684\u306a\u72ec\u7acb\u5909\u6570\uff08\u30c0\u30df\u30fc\u5909\u6570\uff09<\/h3>\n<p>\u696d\u7a2e\u3084\u6642\u671f\u306a\u3069\u306e\u5b9a\u6027\u7684\u306a\u8981\u56e0\u306f<strong>\u30c0\u30df\u30fc\u5909\u6570\uff080\u304b1\uff09<\/strong>\u3067\u56de\u5e30\u306b\u7d44\u307f\u8fbc\u307f\u307e\u3059\u3002<strong>\u5207\u7247\u30c0\u30df\u30fc<\/strong>\u306f\u76f4\u7dda\u3092\u4e0a\u4e0b\u306b\u5e73\u884c\u79fb\u52d5\u3055\u305b\u3001<strong>\u50be\u304d\u30c0\u30df\u30fc<\/strong>\u306f\u6761\u4ef6\u306b\u5f53\u3066\u306f\u307e\u308b\u5834\u5408\u306e\u50be\u304d\u3092\u5909\u3048\u307e\u3059\u3002<\/p>\n<ul>\n<li>n \u500b\u306e\u30ab\u30c6\u30b4\u30ea\u30fc\u306b\u306f n\u22121 \u500b\u306e\u30c0\u30df\u30fc\uff08\u5168\u90e8\u5165\u308c\u308b\u3068\u5b8c\u5168\u306a\u591a\u91cd\u5171\u7dda\u6027\uff09<\/li>\n<li>\u30c0\u30df\u30fc\u304c0\u306e\u30ab\u30c6\u30b4\u30ea\u30fc\u304c\u57fa\u6e96\uff08\u30d9\u30fc\u30b9\uff09<\/li>\n<li>\u5207\u7247\u30c0\u30df\u30fc\u306e\u4fc2\u6570\uff1a\u57fa\u6e96\u30ab\u30c6\u30b4\u30ea\u30fc\u3068\u306e\u5207\u7247\u306e\u5dee<\/li>\n<li>\u50be\u304d\u30c0\u30df\u30fc\uff1a\u30c0\u30df\u30fc \u00d7 \u9023\u7d9a\u5909\u6570\u306e\u4ea4\u5dee\u9805<\/li>\n<li>\u50be\u304d\u30c0\u30df\u30fc\u304c1\u306e\u3068\u304d\u306e\u50be\u304d\u306f bj + dj<\/li>\n<\/ul>\n<div class=\"cfalm-f\">Y = b0 + d0D + b1X + d1(D \u00d7 X) + \u03b5<\/div>\n<h3>LOS 3\uff1a\u30ed\u30b8\u30b9\u30c6\u30a3\u30c3\u30af\u56de\u5e30<\/h3>\n<p>\u5f93\u5c5e\u5909\u6570\u304c\u300c\u30c7\u30d5\u30a9\u30eb\u30c8\u3059\u308b\uff0f\u3057\u306a\u3044\u300d\u306e\u3088\u3046\u306a\u4e8c\u5024\u306e\u5834\u5408\u306f\u3001\u78ba\u7387\u3092\u30ed\u30b0\u30fb\u30aa\u30c3\u30ba\u306b\u5909\u63db\u3059\u308b<strong>\u30ed\u30b8\u30b9\u30c6\u30a3\u30c3\u30af\u56de\u5e30\uff08logit\uff09<\/strong>\u3092\u4f7f\u3044\u307e\u3059\u3002\u4fc2\u6570\u306f<strong>\u6700\u5c24\u6cd5\uff08MLE\uff09<\/strong>\u3067\u63a8\u5b9a\u3057\u3001\u72ec\u7acb\u5909\u65701\u5358\u4f4d\u306e\u5909\u5316\u306b\u5bfe\u3059\u308b\u30ed\u30b0\u30fb\u30aa\u30c3\u30ba\u306e\u5909\u5316\u3068\u3057\u3066\u89e3\u91c8\u3057\u307e\u3059\u3002<\/p>\n<ul>\n<li>\u30ed\u30b0\u30fb\u30aa\u30c3\u30ba ln[P\/(1\u2212P)] \u3092\u72ec\u7acb\u5909\u6570\u306e\u7dda\u5f62\u95a2\u6570\u3067\u8868\u3059<\/li>\n<li>\u4e88\u6e2c\u78ba\u7387\u306f 0\u301c1 \u306b\u53ce\u307e\u308b\uff08S\u5b57\u578b\u306e\u30ed\u30b8\u30b9\u30c6\u30a3\u30c3\u30af\u95a2\u6570\uff09<\/li>\n<li>\u4fc2\u6570\u306e\u89e3\u91c8\uff1a\u4ed6\u306e\u5909\u6570\u4e00\u5b9a\u306e\u3082\u3068\u3067\u306e\u30ed\u30b0\u30fb\u30aa\u30c3\u30ba\u306e\u5909\u5316<\/li>\n<li>\u4fc2\u6570\u306e\u6307\u6570 e^b \u306f\u30aa\u30c3\u30ba\u306e\u500d\u7387<\/li>\n<li>\u5f53\u3066\u306f\u307e\u308a\u306e\u8a55\u4fa1\uff1a\u5c24\u5ea6\u6bd4\uff08LR\uff09\u691c\u5b9a\u3001\u7591\u4f3c R\u00b2<\/li>\n<\/ul>\n<div class=\"cfalm-f\">ln[P\/(1 \u2212 P)] = b0 + b1X1 + \u2026 + bkXk\u3001P = 1 \/ <img decoding=\"async\" class=\"ranking-number\" src=\"https:\/\/triumphmind.com\/cfa\/wp-content\/themes\/jin\/img\/rank01.png\" \/><\/div>\n<h2>\u52b9\u7387\u3088\u304f\u5b66\u3076\u306b\u306f FA-Academy<\/h2>\n<p>CFA\u00ae\ufe0e\u306e\u5354\u4f1a\u30c6\u30ad\u30b9\u30c8\u306f\u82f1\u8a9e\u3067\u5206\u91cf\u3082\u591a\u304f\u30011\u3064\u3072\u3068\u3064\u306e\u5358\u5143\u3092\u82f1\u8a9e\u3060\u3051\u3067\u7406\u89e3\u3057\u3066\u3044\u304f\u306e\u306f\u5927\u304d\u306a\u8ca0\u62c5\u3067\u3059\u3002<\/p>\n<p>FA-Academy\uff08Financial Analyst Academy\uff09\u306f\u3001<strong>\u65e5\u672c\u8a9e\u3067\u5b66\u3079\u308b\u6570\u5c11\u306a\u3044CFA\u00ae\ufe0e\u8a66\u9a13\u30b5\u30dd\u30fc\u30c8<\/strong>\u3067\u3059\u3002\u3053\u308c\u307e\u3067 Level 1 \u304b\u3089 Level 3 \u307e\u3067\u591a\u304f\u306e\u5408\u683c\u8005\u3092\u8f29\u51fa\u3057\u3066\u304a\u308a\u3001\u5408\u683c\u8005\u306e\u65b9\u3005\u3068\u306e\u5bfe\u8ac7\u3082\u6570\u591a\u304f\u516c\u958b\u3057\u3066\u3044\u307e\u3059\u3002\u3069\u3093\u306a\u65b9\u304c\u3001\u3069\u306e\u3088\u3046\u306b\u5408\u683c\u3055\u308c\u305f\u306e\u304b\u306f<a href=\"https:\/\/triumphmind.com\/cfa\/category\/gokaku\/\" target=\"_blank\" rel=\"noopener\">\u5408\u683c\u8005\u5bfe\u8ac7\u30fb\u5408\u683c\u4f53\u9a13\u8ac7\u306e\u4e00\u89a7<\/a>\u304b\u3089\u3054\u89a7\u3044\u305f\u3060\u3051\u307e\u3059\u3002<\/p>\n<ul>\n<li><a href=\"https:\/\/triumphmind.com\/cfa\/level2movie\/\" target=\"_blank\" rel=\"noopener\">Level 2 \u65e5\u672c\u8a9e\u8981\u70b9\u96c6\u306e\u7121\u6599\u30b5\u30f3\u30d7\u30eb\u3092\u53d7\u3051\u53d6\u308b\uff087\u65e5\u9593\u30e1\u30fc\u30eb\u8b1b\u5ea7\uff09<\/a><\/li>\n<li><a href=\"https:\/\/timerex.net\/s\/cfa.tips.slack_2a23\/e72e883e\/\" target=\"_blank\" rel=\"noopener\">\u7121\u6599\u500b\u5225\u9762\u8ac7\u3092\u4e88\u7d04\u3059\u308b\uff08\u5b66\u7fd2\u8a08\u753b\u306e\u3054\u76f8\u8ac7\uff09<\/a><\/li>\n<li><a href=\"https:\/\/triumphmind.com\/cfa\/course\/\" target=\"_blank\" rel=\"noopener\">\u53d7\u8b1b\u6848\u5185\uff08\u30b3\u30fc\u30b9\u4e00\u89a7\u30fb\u53d7\u8b1b\u6599\uff09\u3092\u898b\u308b<\/a><\/li>\n<\/ul>\n<div class=\"cfalm-nav\">\u524d\u306e\u5358\u5143\uff1a<a href=\"https:\/\/triumphmind.com\/cfa\/2026\/09\/22\/cfa-l2-quants-lm3\/\">LM3 Model Misspecification\uff08\u30e2\u30c7\u30eb\u306e\u8aa4\u7279\u5b9a\uff09<\/a><br \/>\n\u6b21\u306e\u5358\u5143\uff1a<a href=\"https:\/\/triumphmind.com\/cfa\/2026\/09\/22\/cfa-l2-quants-lm5\/\">LM5 Time-Series Analysis\uff08\u6642\u7cfb\u5217\u5206\u6790\uff09<\/a><br \/>\n\u5168\u4f53\u306e\u76ee\u6b21\uff1a<a href=\"https:\/\/triumphmind.com\/cfa\/cfa-curriculum\/#l2-quants\">CFA\u00ae\ufe0e \u5b66\u7fd2\u5185\u5bb9\u306e\u76ee\u6b21\uff08Level 2 Quantitative Methods\uff09<\/a><\/div>\n","protected":false},"excerpt":{"rendered":"<p>CFA\u00ae\ufe0e Level 2 Quantitative Methods LM4\u300cExtensions of Multiple Regression\uff08\u91cd\u56de\u5e30\u306e\u62e1\u5f35\uff09\u300d\u306eLOS\uff08\u5b66\u7fd2\u76ee\u6a19\uff09\u3068\u91cd\u8981\u8ad6\u70b9\u3092\u3001\u6700\u65b0\u7248\u30ab\u30ea\u30ad\u30e5\u30e9\u30e0\u306b\u57fa\u3065\u3044\u3066\u65e5\u672c\u8a9e\u3067\u6574\u7406\u3057\u307e\u3057\u305f\u3002<\/p>\n","protected":false},"author":1,"featured_media":11167,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_jin_ogp_image_url":"","_jin_last_featured_id":0,"footnotes":""},"categories":[99],"tags":[],"class_list":["post-10821","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-level2-topics"],"_links":{"self":[{"href":"https:\/\/triumphmind.com\/cfa\/wp-json\/wp\/v2\/posts\/10821","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/triumphmind.com\/cfa\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/triumphmind.com\/cfa\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/triumphmind.com\/cfa\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/triumphmind.com\/cfa\/wp-json\/wp\/v2\/comments?post=10821"}],"version-history":[{"count":1,"href":"https:\/\/triumphmind.com\/cfa\/wp-json\/wp\/v2\/posts\/10821\/revisions"}],"predecessor-version":[{"id":10994,"href":"https:\/\/triumphmind.com\/cfa\/wp-json\/wp\/v2\/posts\/10821\/revisions\/10994"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/triumphmind.com\/cfa\/wp-json\/wp\/v2\/media\/11167"}],"wp:attachment":[{"href":"https:\/\/triumphmind.com\/cfa\/wp-json\/wp\/v2\/media?parent=10821"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/triumphmind.com\/cfa\/wp-json\/wp\/v2\/categories?post=10821"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/triumphmind.com\/cfa\/wp-json\/wp\/v2\/tags?post=10821"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}