{"provider_name":"Hatena Blog","version":"1.0","type":"rich","blog_url":"https://www.crosshyou.info/","blog_title":"R\u3067\u4f55\u304b\u3092\u3057\u305f\u308a\u3001\u8aad\u66f8\u3092\u3059\u308b\u30d6\u30ed\u30b0","categories":["Data_Analysis"],"author_name":"cross_hyou","title":"OECD Tourism flows data analysis 6 - Testing for serial correlation of the error term using R","provider_url":"https://hatena.blog","height":"190","description":"Unsplash\u306eBob Brewer\u304c\u64ae\u5f71\u3057\u305f\u5199\u771f www.crosshyou.info This post is following of the above post. By previous posts, I made 6 models. These models are time series regression model. So, I would like to check whether there are serial correlation of the error term. First, I load dynlm package and lmtest package.\u2026","html":"<iframe src=\"https://hatenablog-parts.com/embed?url=https%3A%2F%2Fwww.crosshyou.info%2Fentry%2F2023%2F04%2F22%2F090019\" title=\"OECD Tourism flows data analysis 6 - Testing for serial correlation of the error term 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>","image_url":"https://cdn-ak.f.st-hatena.com/images/fotolife/c/cross_hyou/20230422/20230422081612.jpg","url":"https://www.crosshyou.info/entry/2023/04/22/090019","width":"100%","published":"2023-04-22 09:00:19","author_url":"https://blog.hatena.ne.jp/cross_hyou/"}