{"id":668,"date":"2023-07-29T03:58:36","date_gmt":"2023-07-29T03:58:36","guid":{"rendered":"https:\/\/statorials.org\/id\/tes-durbin-watson-r\/"},"modified":"2023-07-29T03:58:36","modified_gmt":"2023-07-29T03:58:36","slug":"tes-durbin-watson-r","status":"publish","type":"post","link":"https:\/\/statorials.org\/id\/tes-durbin-watson-r\/","title":{"rendered":"Cara melakukan tes durbin-watson di r"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">Salah satu <a href=\"https:\/\/statorials.org\/id\/asumsi-regresi-linier\/\" target=\"_blank\" rel=\"noopener\">asumsi utama regresi linier<\/a> adalah tidak ada korelasi antar residu, yaitu residu bersifat independen.<\/span><\/p>\n<p> <span style=\"color: #000000;\">Salah satu cara untuk mengetahui terpenuhi tidaknya asumsi tersebut adalah dengan melakukan <a href=\"https:\/\/statorials.org\/id\/tes-durbin-watson\/\" target=\"_blank\" rel=\"noopener\">uji Durbin-Watson<\/a> yang digunakan untuk mendeteksi adanya autokorelasi pada residu suatu regresi. Pengujian ini menggunakan asumsi berikut:<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>H <sub>0<\/sub> (hipotesis nol):<\/strong> Tidak ada korelasi antar residu.<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>H <sub>A<\/sub> (hipotesis alternatif):<\/strong> Residunya bersifat autokorelasi.<\/span><\/p>\n<p> <span style=\"color: #000000;\">Tutorial ini menjelaskan cara melakukan tes Durbin-Watson di R.<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>Contoh: Tes Durbin-Watson di R<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">Untuk melakukan uji Durbin-Watson, pertama-tama kita harus menyesuaikan model regresi linier. Kami akan menggunakan kumpulan data R terintegrasi <strong>mtcars<\/strong> dan menyesuaikan model regresi menggunakan <strong>mpg<\/strong> sebagai variabel prediktor dan <strong>disp<\/strong> dan <strong>wt<\/strong> sebagai variabel penjelas.<\/span><\/p>\n<pre style=\"background-color: #e5e5e5; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#load mtcars dataset\n<\/span>data(mtcars)\n\n<span style=\"color: #008080;\">#view first six rows of dataset\n<\/span>head(mtcars)\n\n                   mpg cyl disp hp drat wt qsec vs am gear carb\nMazda RX4 21.0 6 160 110 3.90 2.620 16.46 0 1 4 4\nMazda RX4 Wag 21.0 6 160 110 3.90 2.875 17.02 0 1 4 4\nDatsun 710 22.8 4 108 93 3.85 2.320 18.61 1 1 4 1\nHornet 4 Drive 21.4 6 258 110 3.08 3.215 19.44 1 0 3 1\nHornet Sportabout 18.7 8 360 175 3.15 3.440 17.02 0 0 3 2\nValiant 18.1 6 225 105 2.76 3,460 20.22 1 0 3 1\n\n<span style=\"color: #008080;\">#fit regression model\n<\/span>model &lt;- lm(mpg ~ disp+wt, data=mtcars)\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">Kemudian kita dapat melakukan pengujian Durbin-Watson menggunakan fungsi <strong>durbinWatsonTest()<\/strong> dari paket <strong>karena<\/strong> :<\/span><\/p>\n<pre style=\"background-color: #e5e5e5; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#load car package\n<\/span>library(car)\n\n<span style=\"color: #008080;\">#perform Durbin-Watson test\n<\/span>durbinWatsonTest(model)\n\nLoading required package: carData\n lag Autocorrelation DW Statistic p-value\n   1 0.341622 1.276569 0.034\n Alternative hypothesis: rho != 0<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">Dari hasilnya, kita dapat melihat bahwa statistik uji adalah <strong>1,276569<\/strong> dan nilai p yang sesuai adalah <strong>0,034<\/strong> . Karena nilai p ini kurang dari 0,05, kita dapat menolak hipotesis nol dan menyimpulkan bahwa sisa model regresi ini bersifat autokorelasi.<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>Apa yang harus dilakukan jika autokorelasi terdeteksi<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">Jika Anda menolak hipotesis nol dan menyimpulkan bahwa terdapat autokorelasi dalam residu, maka Anda memiliki beberapa opsi untuk memperbaiki masalah ini jika Anda menganggapnya cukup serius:<\/span><\/p>\n<ul data-slot-rendered-dynamic=\"true\">\n<li> <span style=\"color: #000000;\">Untuk korelasi serial positif, pertimbangkan untuk menambahkan lag variabel dependen dan\/atau independen ke dalam model.<\/span><\/li>\n<li> <span style=\"color: #000000;\">Untuk korelasi serial negatif, pastikan tidak ada variabel yang <em>mengalami over-delayed<\/em> .<\/span><\/li>\n<li> <span style=\"color: #000000;\">Untuk korelasi musiman, pertimbangkan untuk menambahkan boneka musiman ke model.<\/span><\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>Salah satu asumsi utama regresi linier adalah tidak ada korelasi antar residu, yaitu residu bersifat independen. Salah satu cara untuk mengetahui terpenuhi tidaknya asumsi tersebut adalah dengan melakukan uji Durbin-Watson yang digunakan untuk mendeteksi adanya autokorelasi pada residu suatu regresi. Pengujian ini menggunakan asumsi berikut: H 0 (hipotesis nol): Tidak ada korelasi antar residu. H [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[11],"tags":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v21.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Cara melakukan tes Durbin-Watson di R - Statorials<\/title>\n<meta name=\"description\" content=\"Penjelasan sederhana tentang cara melakukan tes Durbin-Watson di R dan cara menginterpretasikan hasilnya.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/statorials.org\/id\/tes-durbin-watson-r\/\" \/>\n<meta property=\"og:locale\" content=\"id_ID\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Cara melakukan tes Durbin-Watson di R - Statorials\" \/>\n<meta property=\"og:description\" content=\"Penjelasan sederhana tentang cara melakukan tes Durbin-Watson di R dan cara menginterpretasikan hasilnya.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/statorials.org\/id\/tes-durbin-watson-r\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-29T03:58:36+00:00\" \/>\n<meta name=\"author\" content=\"Benjamin anderson\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Ditulis oleh\" \/>\n\t<meta name=\"twitter:data1\" content=\"Benjamin anderson\" \/>\n\t<meta name=\"twitter:label2\" content=\"Estimasi waktu membaca\" \/>\n\t<meta name=\"twitter:data2\" content=\"1 menit\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/statorials.org\/id\/tes-durbin-watson-r\/\",\"url\":\"https:\/\/statorials.org\/id\/tes-durbin-watson-r\/\",\"name\":\"Cara melakukan tes Durbin-Watson di R - Statorials\",\"isPartOf\":{\"@id\":\"https:\/\/statorials.org\/id\/#website\"},\"datePublished\":\"2023-07-29T03:58:36+00:00\",\"dateModified\":\"2023-07-29T03:58:36+00:00\",\"author\":{\"@id\":\"https:\/\/statorials.org\/id\/#\/schema\/person\/3d17a1160dd2d052b7c78e502cb9ec81\"},\"description\":\"Penjelasan sederhana tentang cara melakukan tes Durbin-Watson di R dan cara menginterpretasikan hasilnya.\",\"breadcrumb\":{\"@id\":\"https:\/\/statorials.org\/id\/tes-durbin-watson-r\/#breadcrumb\"},\"inLanguage\":\"id\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/statorials.org\/id\/tes-durbin-watson-r\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/statorials.org\/id\/tes-durbin-watson-r\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\/\/statorials.org\/id\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Cara melakukan tes durbin-watson di r\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/statorials.org\/id\/#website\",\"url\":\"https:\/\/statorials.org\/id\/\",\"name\":\"Statorials\",\"description\":\"Panduan anda untuk kompetensi statistik!\",\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/statorials.org\/id\/?s={search_term_string}\"},\"query-input\":\"required name=search_term_string\"}],\"inLanguage\":\"id\"},{\"@type\":\"Person\",\"@id\":\"https:\/\/statorials.org\/id\/#\/schema\/person\/3d17a1160dd2d052b7c78e502cb9ec81\",\"name\":\"Benjamin anderson\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"id\",\"@id\":\"https:\/\/statorials.org\/id\/#\/schema\/person\/image\/\",\"url\":\"http:\/\/statorials.org\/id\/wp-content\/uploads\/2023\/10\/Dr.-Benjamin-Anderson-96x96.jpg\",\"contentUrl\":\"http:\/\/statorials.org\/id\/wp-content\/uploads\/2023\/10\/Dr.-Benjamin-Anderson-96x96.jpg\",\"caption\":\"Benjamin anderson\"},\"description\":\"Halo, saya Benjamin, pensiunan profesor statistika yang menjadi guru Statorial yang berdedikasi. 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