{"author_url":"https://blog.hatena.ne.jp/cross_hyou/","width":"100%","blog_title":"R\u3067\u4f55\u304b\u3092\u3057\u305f\u308a\u3001\u8aad\u66f8\u3092\u3059\u308b\u30d6\u30ed\u30b0","title":"OECD Meat Consumption Data Analysis 8 - Serial Correlation Robust Inference using R","image_url":"https://cdn-ak.f.st-hatena.com/images/fotolife/c/cross_hyou/20210919/20210919201421.jpg","version":"1.0","author_name":"cross_hyou","blog_url":"https://www.crosshyou.info/","type":"rich","provider_url":"https://hatena.blog","provider_name":"Hatena Blog","url":"https://www.crosshyou.info/entry/2021/09/19/202438","description":"Photo by T o T on Unsplash www.crosshyou.info This post is following of above post. In this post, I will check if there is serial correlation in the previous regression model. First, I make residual with resid() function. Then, let's make a graph for the residual. I cannot tell if there is serial co\u2026","published":"2021-09-19 20:24:38","categories":["Data_Analysis"],"html":"<iframe src=\"https://hatenablog-parts.com/embed?url=https%3A%2F%2Fwww.crosshyou.info%2Fentry%2F2021%2F09%2F19%2F202438\" title=\"OECD Meat Consumption Data Analysis 8 - Serial Correlation Robust Inference using R - R\u3067\u4f55\u304b\u3092\u3057\u305f\u308a\u3001\u8aad\u66f8\u3092\u3059\u308b\u30d6\u30ed\u30b0\" class=\"embed-card embed-blogcard\" scrolling=\"no\" frameborder=\"0\" style=\"display: block; width: 100%; height: 190px; max-width: 500px; margin: 10px 0px;\"></iframe>","height":"190"}