{"height":"190","blog_title":"ryamada\u306e\u907a\u4f1d\u5b66\u30fb\u907a\u4f1d\u7d71\u8a08\u5b66\u30e1\u30e2","provider_url":"https://hatena.blog","provider_name":"Hatena Blog","version":"1.0","author_url":"https://blog.hatena.ne.jp/ryamada22/","published":"2016-07-21 11:04:48","author_name":"ryamada22","title":"\u56de\u5e30\u30e1\u30e2","width":"100%","categories":["\u7dda\u5f62\u4ee3\u6570","\u56de\u5e30"],"description":"Rmd \u56de\u5e30\u624b\u7fd2\u3044: Introduction to Regression\u4f5c\u8005: ryamada\u767a\u58f2\u65e5: 2016/07/21\u30e1\u30c7\u30a3\u30a2: Kindle\u7248\u3053\u306e\u5546\u54c1\u3092\u542b\u3080\u30d6\u30ed\u30b0\u3092\u898b\u308b\u3082\u3057\u304f\u306f\u3053\u3061\u3089 --- title: \"Regression \u56de\u5e30\" author: \"ryamada\" date: \"Thursday, July 21, 2016\" output: html_document --- # 1. Linear regression \u7dda\u5f62\u56de\u5e30 ## Log-normal distribution. \u5bfe\u6570\u6b63\u898f\u5206\u5e03 ```{r} # sample size n <- 10000 # y =\u2026","image_url":"https://images-fe.ssl-images-amazon.com/images/I/51KzzW2A26L._SL160_.jpg","type":"rich","html":"<iframe src=\"https://hatenablog-parts.com/embed?url=https%3A%2F%2Fryamada22.hatenablog.jp%2Fentry%2F20160721%2F1469066688\" title=\"\u56de\u5e30\u30e1\u30e2 - ryamada\u306e\u907a\u4f1d\u5b66\u30fb\u907a\u4f1d\u7d71\u8a08\u5b66\u30e1\u30e2\" class=\"embed-card embed-blogcard\" scrolling=\"no\" frameborder=\"0\" style=\"display: block; width: 100%; height: 190px; max-width: 500px; margin: 10px 0px;\"></iframe>","blog_url":"https://ryamada22.hatenablog.jp/","url":"https://ryamada22.hatenablog.jp/entry/20160721/1469066688"}