{"id":10819,"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-lm2\/"},"modified":"2026-09-22T07:44:39","modified_gmt":"2026-09-21T22:44:39","slug":"cfa-l2-quants-lm2","status":"publish","type":"post","link":"https:\/\/triumphmind.com\/cfa\/2026\/09\/22\/cfa-l2-quants-lm2\/","title":{"rendered":"\u3010CFA\u00ae\ufe0e L2 Quants LM2\u3011Evaluating Regression Model Fit and Interpreting Model Results \u3092\u8981\u70b9\u89e3\u8aac\uff5c\u4fee\u6b63R\u00b2\u30fbAIC\/BIC\u30fb\u7d50\u5408F\u691c\u5b9a\u30fb\u4e88\u6e2c\u5024"},"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 2\u300cEvaluating Regression Model Fit and Interpreting Model Results\uff08\u56de\u5e30\u30e2\u30c7\u30eb\u306e\u5f53\u3066\u306f\u307e\u308a\u3068\u89e3\u91c8\uff09\u300d\u306f\u3001ANOVA \u8868\u3068\u4fee\u6b63 R\u00b2\u30fbAIC\u30fbBIC \u306b\u3088\u308b\u91cd\u56de\u5e30\u30e2\u30c7\u30eb\u306e\u5f53\u3066\u306f\u307e\u308a\u306e\u8a55\u4fa1\u3001\u8907\u6570\u306e\u4fc2\u6570\u3092\u540c\u6642\u306b\u691c\u5b9a\u3059\u308b\u7d50\u5408\u4eee\u8aac\u691c\u5b9a\uff08F\u691c\u5b9a\uff09\u3001\u63a8\u5b9a\u3057\u305f\u30e2\u30c7\u30eb\u3092\u4f7f\u3063\u305f\u5f93\u5c5e\u5909\u6570\u306e\u4e88\u6e2c\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>LM2\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\u3002LM2\u306b\u306f3\u3064\u306eLOS\u304c\u3042\u308a\u307e\u3059\u3002<\/p>\n<ol class=\"cfalm-los\">\n<li><span class=\"ja\">LOS 1\uff1aANOVA \u8868\u306e\u7d50\u679c\u3068\u5f53\u3066\u306f\u307e\u308a\u306e\u6307\u6a19\u3092\u5206\u6790\u3057\u3001\u91cd\u56de\u5e30\u30e2\u30c7\u30eb\u304c\u5f93\u5c5e\u5909\u6570\u3092\u3069\u306e\u7a0b\u5ea6\u8aac\u660e\u3057\u3066\u3044\u308b\u304b\u3092\u8a55\u4fa1\u3059\u308b<\/span><span class=\"en\">evaluate how well a multiple regression model explains the dependent variable by analyzing ANOVA table results and measures of goodness of fit<\/span><\/li>\n<li><span class=\"ja\">LOS 2\uff1a\u91cd\u56de\u5e30\u30e2\u30c7\u30eb\u306e2\u3064\u4ee5\u4e0a\u306e\u4fc2\u6570\u306e\u6709\u610f\u6027\u306b\u3064\u3044\u3066\u4eee\u8aac\u3092\u7acb\u3066\u3001\u7d50\u5408\u4eee\u8aac\u691c\u5b9a\u306e\u7d50\u679c\u3092\u89e3\u91c8\u3059\u308b<\/span><span class=\"en\">formulate hypotheses on the significance of two or more coefficients in a multiple regression model and interpret the results of the joint hypothesis tests<\/span><\/li>\n<li><span class=\"ja\">LOS 3\uff1a\u63a8\u5b9a\u3055\u308c\u305f\u56de\u5e30\u30e2\u30c7\u30eb\u3068\u72ec\u7acb\u5909\u6570\u306e\u60f3\u5b9a\u5024\u304b\u3089\u3001\u5f93\u5c5e\u5909\u6570\u306e\u4e88\u6e2c\u5024\u3092\u8a08\u7b97\u30fb\u89e3\u91c8\u3059\u308b<\/span><span class=\"en\">calculate and interpret a predicted value for the dependent variable, given the estimated regression model and assumed values for the independent variable<\/span><\/li>\n<\/ol>\n<h2>LM2\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>\u91cd\u56de\u5e30\u3067\u306f\u3001\u72ec\u7acb\u5909\u6570\u3092\u52a0\u3048\u308b\u3060\u3051\u3067\u81ea\u52d5\u7684\u306b\u4e0a\u304c\u308b R\u00b2 \u3067\u306f\u306a\u304f\u3001\u81ea\u7531\u5ea6\u3092\u8abf\u6574\u3057\u305f\u4fee\u6b63 R\u00b2 \u3092\u5f53\u3066\u306f\u307e\u308a\u306e\u6307\u6a19\u306b\u7528\u3044\u308b<\/li>\n<li>\u8ffd\u52a0\u3057\u305f\u5909\u6570\u306e t \u5024\u306e\u7d76\u5bfe\u5024\u304c1\u3092\u4e0a\u56de\u308c\u3070\u4fee\u6b63 R\u00b2 \u306f\u4e0a\u6607\u3057\u30011\u3092\u4e0b\u56de\u308c\u3070\u4f4e\u4e0b\u3059\u308b<\/li>\n<li>AIC \u3068 BIC \u306f\u540c\u3058\u5f93\u5c5e\u5909\u6570\u3092\u3082\u3064\u30e2\u30c7\u30eb\u7fa4\u304b\u3089\u6700\u826f\u306e\u30e2\u30c7\u30eb\u3092\u9078\u3076\u6307\u6a19\u3067\u3001\u5024\u304c\u5c0f\u3055\u3044\u307b\u3069\u826f\u3044\u3002\u4e88\u6e2c\u76ee\u7684\u306a\u3089 AIC\u3001\u5f53\u3066\u306f\u307e\u308a\u91cd\u8996\u306a\u3089 BIC<\/li>\n<li>\u5358\u4e00\u4fc2\u6570\u306e t \u691c\u5b9a\u306f\u5358\u56de\u5e30\u3068\u540c\u3058\u624b\u9806<\/li>\n<li>\u7d50\u5408 F \u691c\u5b9a\u306f\u3001\u5236\u7d04\u4ed8\u304d\u30e2\u30c7\u30eb\u306b\u542b\u307e\u308c\u306a\u3044\u5909\u6570\u306e\u50be\u304d\u4fc2\u6570\u304c\u3059\u3079\u3066\u30bc\u30ed\u3068\u3044\u3046\u5e30\u7121\u4eee\u8aac\u3092\u691c\u5b9a\u3059\u308b<\/li>\n<li>\u4e00\u822c\u7dda\u5f62 F \u691c\u5b9a\u306f\u3001\u3059\u3079\u3066\u306e\u50be\u304d\u4fc2\u6570\u304c\u30bc\u30ed\u3068\u3044\u3046\u5e30\u7121\u4eee\u8aac\u3092\u691c\u5b9a\u3059\u308b<\/li>\n<li>\u4e88\u6e2c\u5024\u306f\u3001\u5404\u72ec\u7acb\u5909\u6570\u306e\u60f3\u5b9a\u5024\u306b\u63a8\u5b9a\u4fc2\u6570\u3092\u639b\u3051\u3066\u5408\u8a08\u3057\u3001\u5207\u7247\u3092\u52a0\u3048\u3066\u6c42\u3081\u308b<\/li>\n<li>\u4e88\u6e2c\u306e\u4fe1\u983c\u533a\u9593\u306f\u30e2\u30c7\u30eb\u8aa4\u5dee\u3068\u3001\u4fc2\u6570\u3092\u6a19\u672c\u304b\u3089\u63a8\u5b9a\u3057\u305f\u3053\u3068\u306b\u3088\u308b\u6a19\u672c\u8aa4\u5dee\u306e\u4e21\u65b9\u3092\u53cd\u6620\u3057\u3001\u6a19\u672c\u8aa4\u5dee\u304c\u5927\u304d\u3044\u307b\u3069\u5e83\u304f\u306a\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\uff1aANOVA \u8868\u3068\u5f53\u3066\u306f\u307e\u308a\u306e\u6307\u6a19<\/h3>\n<p>\u91cd\u56de\u5e30\u3067\u306f R\u00b2 \u304c\u5909\u6570\u3092\u8ffd\u52a0\u3059\u308b\u305f\u3073\u306b\u4e0a\u304c\u3063\u3066\u3057\u307e\u3046\u305f\u3081\u3001<strong>\u4fee\u6b63 R\u00b2\uff08adjusted R\u00b2\uff09<\/strong>\u3067\u81ea\u7531\u5ea6\u3092\u8abf\u6574\u3057\u3066\u5f53\u3066\u306f\u307e\u308a\u3092\u8a55\u4fa1\u3057\u307e\u3059\u3002\u3042\u308f\u305b\u3066 <strong>AIC\u30fbBIC<\/strong> \u3067\u8907\u6570\u30e2\u30c7\u30eb\u3092\u6bd4\u8f03\u3057\u3001\u5024\u304c\u5c0f\u3055\u3044\u30e2\u30c7\u30eb\u3092\u9078\u3073\u307e\u3059\u3002<\/p>\n<ul>\n<li>R\u00b2 = \u56de\u5e30\u5e73\u65b9\u548c\uff08RSS\uff09\u00f7 \u7dcf\u5e73\u65b9\u548c\uff08SST\uff09<\/li>\n<li>\u4fee\u6b63 R\u00b2 \u306f\u8ca0\u306e\u5024\u3082\u3068\u308a\u5f97\u3066\u3001R\u00b2 \u4ee5\u4e0b\u306b\u306a\u308b<\/li>\n<li>\u8ffd\u52a0\u5909\u6570\u306e |t| > 1 \u306a\u3089\u4fee\u6b63 R\u00b2 \u304c\u4e0a\u6607<\/li>\n<li>AIC\uff1a\u4e88\u6e2c\u76ee\u7684\u306e\u30e2\u30c7\u30eb\u9078\u629e\u306b\u9069\u3059\u308b<\/li>\n<li>BIC\uff1a\u5909\u6570\u8ffd\u52a0\u3078\u306e\u30da\u30ca\u30eb\u30c6\u30a3\u304c AIC \u3088\u308a\u5927\u304d\u304f\u3001\u5f53\u3066\u306f\u307e\u308a\u91cd\u8996\u306e\u9078\u629e\u306b\u9069\u3059\u308b<\/li>\n<\/ul>\n<div class=\"cfalm-f\">\u4fee\u6b63R\u00b2 = 1 \u2212 [(n \u2212 1)\/(n \u2212 k \u2212 1)] \u00d7 (1 \u2212 R\u00b2)<\/div>\n<h3>LOS 2\uff1a\u8907\u6570\u4fc2\u6570\u306e\u7d50\u5408\u4eee\u8aac\u691c\u5b9a\uff08F\u691c\u5b9a\uff09<\/h3>\n<p>\u5909\u6570\u306e\u4e00\u90e8\u3092\u307e\u3068\u3081\u3066\u9664\u3044\u3066\u3088\u3044\u304b\u306f\u3001<strong>\u5236\u7d04\u4ed8\u304d\u30e2\u30c7\u30eb\uff08restricted\uff09\u3068\u5236\u7d04\u306a\u3057\u30e2\u30c7\u30eb\uff08unrestricted\uff09<\/strong>\u306e\u6b8b\u5dee\u5e73\u65b9\u548c\uff08SSE\uff09\u306e\u5dee\u3092\u4f7f\u3046\u7d50\u5408 F \u691c\u5b9a\u3067\u5224\u65ad\u3057\u307e\u3059\u3002\u3059\u3079\u3066\u306e\u50be\u304d\u4fc2\u6570\u304c\u30bc\u30ed\u304b\u3092\u8abf\u3079\u308b\u306e\u304c\u4e00\u822c\u7dda\u5f62 F \u691c\u5b9a\u3067\u3059\u3002<\/p>\n<ul>\n<li>\u5e30\u7121\u4eee\u8aac\uff1a\u9664\u5916\u3059\u308b q \u500b\u306e\u5909\u6570\u306e\u4fc2\u6570\u304c\u3059\u3079\u3066\u30bc\u30ed<\/li>\n<li>\u5236\u7d04\u4ed8\u304d\u30e2\u30c7\u30eb\u306f\u5236\u7d04\u306a\u3057\u30e2\u30c7\u30eb\u306b\u5165\u308c\u5b50\uff08nested\uff09\u306e\u95a2\u4fc2<\/li>\n<li>F \u5024\u304c\u68c4\u5374\u70b9\u3092\u4e0a\u56de\u308c\u3070\u3001\u9664\u5916\u3057\u305f\u5909\u6570\u7fa4\u306f\u5168\u4f53\u3068\u3057\u3066\u6709\u610f<\/li>\n<li>\u4e00\u822c\u7dda\u5f62 F \u691c\u5b9a\uff1aH0 \u306f\u5168\u50be\u304d\u4fc2\u6570\u304c\u30bc\u30ed\u3001\u81ea\u7531\u5ea6\u306f k \u3068 n\u2212k\u22121<\/li>\n<li>\u5358\u4e00\u4fc2\u6570\u306f t \u691c\u5b9a\uff08\u5358\u56de\u5e30\u3068\u540c\u3058\uff09<\/li>\n<\/ul>\n<div class=\"cfalm-f\">F = [(SSE_R \u2212 SSE_U) \/ q] \u00f7 [SSE_U \/ (n \u2212 k \u2212 1)]<\/div>\n<h3>LOS 3\uff1a\u5f93\u5c5e\u5909\u6570\u306e\u4e88\u6e2c\u5024\u306e\u8a08\u7b97<\/h3>\n<p>\u63a8\u5b9a\u3057\u305f\u56de\u5e30\u5f0f\u306b\u72ec\u7acb\u5909\u6570\u306e\u60f3\u5b9a\u5024\u3092\u4ee3\u5165\u3059\u308c\u3070\u4e88\u6e2c\u5024\u304c\u5f97\u3089\u308c\u307e\u3059\u3002\u305f\u3060\u3057\u4e88\u6e2c\u306b\u306f<strong>\u30e2\u30c7\u30eb\u8aa4\u5dee<\/strong>\u306b\u52a0\u3048\u3066\u3001\u6a19\u672c\u304b\u3089\u56de\u5e30\u4fc2\u6570\u3092\u63a8\u5b9a\u3057\u305f\u3053\u3068\u306b\u3088\u308b<strong>\u6a19\u672c\u8aa4\u5dee<\/strong>\u304c\u542b\u307e\u308c\u308b\u305f\u3081\u3001\u4fe1\u983c\u533a\u9593\u306f\u305d\u306e\u5206\u5e83\u304c\u308a\u307e\u3059\u3002<\/p>\n<ul>\n<li>\u4e88\u6e2c\u5024 = \u5207\u7247\uff0b\u03a3\uff08\u63a8\u5b9a\u4fc2\u6570 \u00d7 \u72ec\u7acb\u5909\u6570\u306e\u60f3\u5b9a\u5024\uff09<\/li>\n<li>\u6709\u610f\u3067\u306a\u3044\u5909\u6570\u3082\u63a8\u5b9a\u306b\u542b\u3081\u305f\u306a\u3089\u4e88\u6e2c\u306b\u3082\u4f7f\u3046<\/li>\n<li>\u4fc2\u6570\u63a8\u5b9a\u306e\u4e0d\u78ba\u5b9f\u6027\uff08\u6a19\u672c\u8aa4\u5dee\uff09\u304c\u5927\u304d\u3044\u307b\u3069\u4e88\u6e2c\u306e\u6a19\u6e96\u8aa4\u5dee\u304c\u5927\u304d\u3044<\/li>\n<li>\u4fe1\u983c\u533a\u9593\u306f\u4e88\u6e2c\u5024 \u00b1 \u81e8\u754c\u5024 \u00d7 \u4e88\u6e2c\u306e\u6a19\u6e96\u8aa4\u5dee<\/li>\n<\/ul>\n<div class=\"cfalm-f\">\u0176 = b\u03020 + b\u03021X1 + b\u03022X2 + \u2026 + b\u0302kXk<\/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-lm1\/\">LM1 Basics of Multiple Regression and Underlying Assumptions\uff08\u91cd\u56de\u5e30\u306e\u57fa\u790e\u3068\u524d\u63d0\u6761\u4ef6\uff09<\/a><br \/>\n\u6b21\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\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 LM2\u300cEvaluating Regression Model Fit and Interpreting Model Results\uff08\u56de\u5e30\u30e2\u30c7\u30eb\u306e\u5f53\u3066\u306f\u307e\u308a\u3068\u89e3\u91c8\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":11165,"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-10819","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\/10819","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=10819"}],"version-history":[{"count":2,"href":"https:\/\/triumphmind.com\/cfa\/wp-json\/wp\/v2\/posts\/10819\/revisions"}],"predecessor-version":[{"id":11365,"href":"https:\/\/triumphmind.com\/cfa\/wp-json\/wp\/v2\/posts\/10819\/revisions\/11365"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/triumphmind.com\/cfa\/wp-json\/wp\/v2\/media\/11165"}],"wp:attachment":[{"href":"https:\/\/triumphmind.com\/cfa\/wp-json\/wp\/v2\/media?parent=10819"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/triumphmind.com\/cfa\/wp-json\/wp\/v2\/categories?post=10819"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/triumphmind.com\/cfa\/wp-json\/wp\/v2\/tags?post=10819"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}