{"id":1141,"date":"2023-07-27T12:43:28","date_gmt":"2023-07-27T12:43:28","guid":{"rendered":"https:\/\/statorials.org\/ja\/r-%e3%82%92-r-%e3%81%ae-2-%e4%b9%97%e3%81%ab\/"},"modified":"2023-07-27T12:43:28","modified_gmt":"2023-07-27T12:43:28","slug":"r-%e3%82%92-r-%e3%81%ae-2-%e4%b9%97%e3%81%ab","status":"publish","type":"post","link":"https:\/\/statorials.org\/ja\/r-%e3%82%92-r-%e3%81%ae-2-%e4%b9%97%e3%81%ab\/","title":{"rendered":"R \u306e\u6c7a\u5b9a\u4fc2\u6570 (r \u4e8c\u4e57) \u3092\u6c42\u3081\u308b\u65b9\u6cd5"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\"><strong>\u6c7a\u5b9a\u4fc2\u6570<\/strong>(\u4e00\u822c\u306b R <sup>2<\/sup>\u3068\u547c\u3070\u308c\u308b) \u306f\u3001\u56de\u5e30\u30e2\u30c7\u30eb\u306e\u8aac\u660e\u5909\u6570\u306b\u3088\u3063\u3066\u8aac\u660e\u3067\u304d\u308b<a href=\"https:\/\/statorials.org\/ja\/\u5909\u6570\u306e\u8aac\u660e\u5fdc\u7b54\/\" target=\"_blank\" rel=\"noopener noreferrer\">\u5fdc\u7b54\u5909\u6570<\/a>\u306e\u5206\u6563\u306e\u5272\u5408\u3067\u3059\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u3053\u306e\u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb\u3067\u306f\u3001R \u306e\u56de\u5e30\u30e2\u30c7\u30eb\u3067<sup>R2 \u3092<\/sup>\u898b\u3064\u3051\u3066\u89e3\u91c8\u3059\u308b\u65b9\u6cd5\u306e\u4f8b\u3092\u793a\u3057\u307e\u3059\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\"><strong>\u95a2\u9023:<\/strong> <a href=\"https:\/\/statorials.org\/ja\/\u826f\u597d\u306ar\u4e8c\u4e57\u5024\/\" target=\"_blank\" rel=\"noopener noreferrer\">\u9069\u5207\u306a R \u4e8c\u4e57\u5024\u3068\u306f\u4f55\u3067\u3059\u304b?<\/a><\/span><\/p>\n<h3><span style=\"color: #000000;\"><strong>\u4f8b: R \u306e R2 \u4e57\u306e\u691c\u7d22\u3068\u89e3\u91c8<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">15 \u4eba\u306e\u5b66\u751f\u306e\u5b66\u7fd2\u6642\u9593\u6570\u3001\u53d7\u3051\u305f\u4e88\u5099\u8a66\u9a13\u3001\u304a\u3088\u3073\u53d7\u3051\u53d6\u3063\u305f\u8a66\u9a13\u306e\u5f97\u70b9\u306b\u95a2\u3059\u308b\u30c7\u30fc\u30bf\u3092\u542b\u3080\u6b21\u306e\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u304c\u3042\u308b\u3068\u3057\u307e\u3059\u3002<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#create data frame<\/span>\ndf &lt;- data.frame(hours=c(1, 2, 2, 4, 2, 1, 5, 4, 2, 4, 4, 3, 6, 5, 3),\n                 prep_exams=c(1, 3, 3, 5, 2, 2, 1, 1, 0, 3, 4, 3, 2, 4, 4),\n                 score=c(76, 78, 85, 88, 72, 69, 94, 94, 88, 92, 90, 75, 96, 90, 82))\n\n<span style=\"color: #008080;\">#view first six rows of data frame<\/span>\nhead(df)\n\n  hours prep_exams score\n1 1 1 76\n2 2 3 78\n3 2 3 85\n4 4 5 88\n5 2 2 72\n6 1 2 69\n<\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u6b21\u306e\u30b3\u30fc\u30c9\u306f<a href=\"https:\/\/statorials.org\/ja\/\u91cd\u7dda\u5f62\u56de\u5e30r\/\" target=\"_blank\" rel=\"noopener noreferrer\">\u3001\u91cd\u7dda\u5f62\u56de\u5e30\u30e2\u30c7\u30eb\u3092<\/a>\u3053\u306e\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306b\u9069\u5408\u3055\u305b\u3001R \u3067\u30e2\u30c7\u30eb\u51fa\u529b\u3092\u8868\u793a\u3059\u308b\u65b9\u6cd5\u3092\u793a\u3057\u3066\u3044\u307e\u3059\u3002<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#fit regression model<\/span>\nmodel &lt;- lm(score~hours+prep_exams, data=df)\n\n<span style=\"color: #008080;\">#view model summary<\/span>\nsummary(model)\n\nCall:\nlm(formula = score ~ hours + prep_exams, data = df)\n\nResiduals:\n    Min 1Q Median 3Q Max \n-7.9896 -2.5514 0.3079 3.3370 7.0352 \n\nCoefficients:\n            Estimate Std. Error t value Pr(&gt;|t|)    \n(Intercept) 71.8078 3.5222 20.387 1.12e-10 ***\nhours 5.0247 0.8964 5.606 0.000115 ***\nprep_exams -1.2975 0.9689 -1.339 0.205339    \n---\nSignificant. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1\n\nResidual standard error: 4.944 on 12 degrees of freedom\nMultiple R-squared: 0.7237, Adjusted R-squared: 0.6776 \nF-statistic: 15.71 on 2 and 12 DF, p-value: 0.0004454<\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u30e2\u30c7\u30eb\u306e R \u4e8c\u4e57 (\u51fa\u529b\u306e\u4e00\u756a\u4e0b\u306b\u8868\u793a) \u306f<strong>0.7237<\/strong>\u3067\u3042\u308b\u3053\u3068\u304c\u308f\u304b\u308a\u307e\u3059\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u3053\u308c\u306f\u3001\u8a66\u9a13\u5f97\u70b9\u306e\u5909\u52d5\u306e<strong>72.37%<\/strong>\u304c\u3001\u52c9\u5f37\u6642\u9593\u6570\u3068\u53d7\u9a13\u3057\u305f\u6a21\u64ec\u8a66\u9a13\u306e\u6570\u306b\u3088\u3063\u3066\u8aac\u660e\u3067\u304d\u308b\u3053\u3068\u3092\u610f\u5473\u3057\u307e\u3059\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u6b21\u306e\u69cb\u6587\u3092\u4f7f\u7528\u3057\u3066\u3053\u306e\u5024\u306b\u30a2\u30af\u30bb\u30b9\u3059\u308b\u3053\u3068\u3082\u3067\u304d\u308b\u3053\u3068\u306b\u6ce8\u610f\u3057\u3066\u304f\u3060\u3055\u3044\u3002<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong>summary(model)$r.squared\n\n[1] 0.7236545<\/strong><\/pre>\n<h3> <span style=\"color: #000000;\"><strong>R\u4e8c\u4e57\u5024\u306e\u89e3\u91c8\u65b9\u6cd5<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">R \u306e 2 \u4e57\u5024\u306f\u5e38\u306b 0 \u304b\u3089 1 \u306e\u9593\u306b\u306a\u308a\u307e\u3059\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u5024 1 \u306f\u3001\u8aac\u660e\u5909\u6570\u304c\u5fdc\u7b54\u5909\u6570\u306e\u5206\u6563\u3092\u5b8c\u5168\u306b\u8aac\u660e\u3067\u304d\u308b\u3053\u3068\u3092\u793a\u3057\u3001\u5024 0 \u306f\u3001\u8aac\u660e\u5909\u6570\u304c\u5fdc\u7b54\u5909\u6570\u306e\u5206\u6563\u3092\u8aac\u660e\u3059\u308b\u80fd\u529b\u304c\u306a\u3044\u3053\u3068\u3092\u793a\u3057\u307e\u3059\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u4e00\u822c\u306b\u3001\u56de\u5e30\u30e2\u30c7\u30eb\u306e R \u4e8c\u4e57\u5024\u304c\u5927\u304d\u3044\u307b\u3069\u3001\u8aac\u660e\u5909\u6570\u306f\u5fdc\u7b54\u5909\u6570\u306e\u5024\u3092\u3088\u308a\u9069\u5207\u306b\u4e88\u6e2c\u3067\u304d\u307e\u3059\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u7279\u5b9a\u306e R \u4e8c\u4e57\u5024\u304c\u7279\u5b9a\u306e\u56de\u5e30\u30e2\u30c7\u30eb\u306b\u3068\u3063\u3066\u300c\u826f\u597d\u300d\u3067\u3042\u308b\u3068\u898b\u306a\u3055\u308c\u308b\u304b\u3069\u3046\u304b\u3092\u5224\u65ad\u3059\u308b\u65b9\u6cd5\u306e\u8a73\u7d30\u306b\u3064\u3044\u3066\u306f\u3001 <a href=\"https:\/\/statorials.org\/ja\/\u826f\u597d\u306ar\u4e8c\u4e57\u5024\/\" target=\"_blank\" rel=\"noopener noreferrer\">\u3053\u306e\u8a18\u4e8b<\/a>\u3092\u53c2\u7167\u3057\u3066\u304f\u3060\u3055\u3044\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\"><strong>\u95a2\u9023:<\/strong><\/span> <a href=\"https:\/\/statorials.org\/ja\/r-\u5e73\u65b9\u306e-r-\u30d5\u30a3\u30c3\u30c8\/\" target=\"_blank\" rel=\"noopener noreferrer\">R \u306e\u8abf\u6574\u6e08\u307f R \u4e8c\u4e57\u3092\u8a08\u7b97\u3059\u308b\u65b9\u6cd5<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u6c7a\u5b9a\u4fc2\u6570(\u4e00\u822c\u306b R 2\u3068\u547c\u3070\u308c\u308b) \u306f\u3001\u56de\u5e30\u30e2\u30c7\u30eb\u306e\u8aac\u660e\u5909\u6570\u306b\u3088\u3063\u3066\u8aac\u660e\u3067\u304d\u308b\u5fdc\u7b54\u5909\u6570\u306e\u5206\u6563\u306e\u5272\u5408\u3067\u3059\u3002 \u3053\u306e\u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb\u3067\u306f\u3001R \u306e\u56de\u5e30\u30e2\u30c7\u30eb\u3067R2 \u3092\u898b\u3064\u3051\u3066\u89e3\u91c8\u3059\u308b\u65b9\u6cd5\u306e\u4f8b\u3092\u793a\u3057\u307e\u3059\u3002 \u95a2\u9023: \u9069\u5207\u306a R \u4e8c\u4e57 [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[16],"tags":[],"class_list":["post-1141","post","type-post","status-publish","format-standard","hentry","category-16"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v21.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>R \u306e\u6c7a\u5b9a\u4fc2\u6570 (R \u4e8c\u4e57) 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\u3092\u8a08\u7b97\u3059\u308b\u65b9\u6cd5\u3092\u3044\u304f\u3064\u304b\u306e\u4f8b\u3068\u3068\u3082\u306b\u8aac\u660e\u3057\u307e\u3059\u3002\" \/>\n<meta property=\"og:url\" content=\"https:\/\/statorials.org\/ja\/r-\u3092-r-\u306e-2-\u4e57\u306b\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-27T12:43:28+00:00\" \/>\n<meta name=\"author\" content=\"\u30d9\u30f3\u30b8\u30e3\u30df\u30f3\u30fb\u30a2\u30f3\u30c0\u30fc\u30bd\u30f3\u535a\u58eb\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"\u57f7\u7b46\u8005\" \/>\n\t<meta name=\"twitter:data1\" content=\"\u30d9\u30f3\u30b8\u30e3\u30df\u30f3\u30fb\u30a2\u30f3\u30c0\u30fc\u30bd\u30f3\u535a\u58eb\" \/>\n\t<meta name=\"twitter:label2\" content=\"\u63a8\u5b9a\u8aad\u307f\u53d6\u308a\u6642\u9593\" \/>\n\t<meta name=\"twitter:data2\" content=\"1\u5206\" \/>\n<script type=\"application\/ld+json\" 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