{"id":53273,"date":"2022-05-13T22:30:00","date_gmt":"2022-05-13T15:30:00","guid":{"rendered":"https:\/\/superapp.id\/blog\/?p=53273"},"modified":"2022-05-13T14:19:10","modified_gmt":"2022-05-13T07:19:10","slug":"regresi","status":"publish","type":"post","link":"https:\/\/superapp.id\/blog\/lifestyle\/regresi\/","title":{"rendered":"Regresi: Pengertian, Fungsi, Jenis, Manfaat dan Rumusnya"},"content":{"rendered":"<p><span style=\"color: #000000;\">Satu dari sekian banyak metode analisis data yang sering digunakan adalah analisis regresi. Analisis ini dapat digunakan untuk melihat keeratan hubungan sebab-akibat yang terjadi antar variabel. Analisis ini juga biasa digunakan untuk melakukan suatu prediksi.<\/span><\/p>\n<p><span style=\"color: #000000;\">Analisis regresi termasuk ke dalam metode klasik dalam statistika. Analisis ini berbeda dengan analisis korelasi meskipun dalam penggunaannya sering digunakan secara bersamaan. Untuk lebih memahami mengenai analisis ini, Sedulur dapat menyimak artikel berikut.<\/span><\/p>\n<p><span style=\"color: #000000;\"><strong>BACA JUGA: <a style=\"color: #000000;\" href=\"https:\/\/superapp.id\/blog\/uncategorized\/diagonal-ruang\/\">Pengertian &amp; Perbedaan Diagonal Ruang dan Diagonal Bidang<\/a><\/strong><\/span><\/p>\n<h2><span style=\"color: #000000;\">Pengertian Regresi<\/span><\/h2>\n<figure id=\"attachment_53301\" aria-describedby=\"caption-attachment-53301\" style=\"width: 690px\" class=\"wp-caption aligncenter\"><img loading=\"lazy\" decoding=\"async\" class=\"size-full wp-image-53301\" src=\"https:\/\/superapp.id\/blog\/wp-content\/uploads\/2022\/05\/REGRESI8.webp\" alt=\"REGRESI\" width=\"700\" height=\"467\" srcset=\"https:\/\/superapp.id\/blog\/wp-content\/uploads\/2022\/05\/REGRESI8.webp 700w, https:\/\/superapp.id\/blog\/wp-content\/uploads\/2022\/05\/REGRESI8-390x260.webp 390w, https:\/\/superapp.id\/blog\/wp-content\/uploads\/2022\/05\/REGRESI8-285x190.webp 285w\" sizes=\"(max-width: 700px) 100vw, 700px\" \/><figcaption id=\"caption-attachment-53301\" class=\"wp-caption-text\"><span style=\"color: #000000;\">iStock<\/span><\/figcaption><\/figure>\n<p><span style=\"color: #000000;\">Regresi merupakan metode dalam ilmu statistika yang digunakan untuk memperkirakan hubungan antara satu variabel terikat dan satu atau lebih variabel independen. Metode ini memiliki fungsi untuk menilai kekuatan hubungan antara suatu variabel dengan perkiraan masa depan.<\/span><\/p>\n<p><span style=\"color: #000000;\">Analisis ini dapat diaplikasikan ke berbagai disiplin ilmu, seperti investasi, finansial, dan pemasaran. Analisis ini terdiri dari dua variasi utama, yaitu linear dan linear berganda. Namun, adapula analisis nonlinear. Analisi nonlinear ini jarang disinggung karena hanya dipakai untuk kelompok data yang lebih kompleks.<\/span><\/p>\n<h2><span style=\"color: #000000;\">Fungsi-fungsi<\/span><\/h2>\n<figure id=\"attachment_53295\" aria-describedby=\"caption-attachment-53295\" style=\"width: 690px\" class=\"wp-caption aligncenter\"><img loading=\"lazy\" decoding=\"async\" class=\"size-full wp-image-53295\" src=\"https:\/\/superapp.id\/blog\/wp-content\/uploads\/2022\/05\/REGRESI2.webp\" alt=\"REGRESI\" width=\"700\" height=\"467\" srcset=\"https:\/\/superapp.id\/blog\/wp-content\/uploads\/2022\/05\/REGRESI2.webp 700w, https:\/\/superapp.id\/blog\/wp-content\/uploads\/2022\/05\/REGRESI2-390x260.webp 390w, https:\/\/superapp.id\/blog\/wp-content\/uploads\/2022\/05\/REGRESI2-285x190.webp 285w\" sizes=\"(max-width: 700px) 100vw, 700px\" \/><figcaption id=\"caption-attachment-53295\" class=\"wp-caption-text\"><span style=\"color: #000000;\">iStock<\/span><\/figcaption><\/figure>\n<p><span style=\"color: #000000;\" data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;fungsi regresi\\r\\npersamaan regresi\\r\\ngaris regresi\\r\\njenis regresi\\r\\nregresi linear berganda\\r\\nfungsi regresi linear\\r\\nkoefisien regresi\\r\\ncara analisis regresi&quot;}\" data-sheets-userformat=\"{&quot;2&quot;:4540,&quot;5&quot;:{&quot;1&quot;:[{&quot;1&quot;:2,&quot;2&quot;:0,&quot;5&quot;:{&quot;1&quot;:2,&quot;2&quot;:0}},{&quot;1&quot;:0,&quot;2&quot;:0,&quot;3&quot;:3},{&quot;1&quot;:1,&quot;2&quot;:0,&quot;4&quot;:1}]},&quot;6&quot;:{&quot;1&quot;:[{&quot;1&quot;:2,&quot;2&quot;:0,&quot;5&quot;:{&quot;1&quot;:2,&quot;2&quot;:0}},{&quot;1&quot;:0,&quot;2&quot;:0,&quot;3&quot;:3},{&quot;1&quot;:1,&quot;2&quot;:0,&quot;4&quot;:1}]},&quot;7&quot;:{&quot;1&quot;:[{&quot;1&quot;:2,&quot;2&quot;:0,&quot;5&quot;:{&quot;1&quot;:2,&quot;2&quot;:0}},{&quot;1&quot;:0,&quot;2&quot;:0,&quot;3&quot;:3},{&quot;1&quot;:1,&quot;2&quot;:0,&quot;4&quot;:1}]},&quot;8&quot;:{&quot;1&quot;:[{&quot;1&quot;:2,&quot;2&quot;:0,&quot;5&quot;:{&quot;1&quot;:2,&quot;2&quot;:0}},{&quot;1&quot;:0,&quot;2&quot;:0,&quot;3&quot;:3},{&quot;1&quot;:1,&quot;2&quot;:0,&quot;4&quot;:1}]},&quot;10&quot;:2,&quot;11&quot;:3,&quot;15&quot;:&quot;Arial&quot;}\">Terdapat beberapa fungsi regresi, antara lain sebagai berikut.<\/span><\/p>\n<h3><span style=\"color: #000000;\">1. Untuk memprediksi masa depan<\/span><\/h3>\n<p><span style=\"color: #000000;\">Fungsi yang pertama adalah memprediksi masa depan dengan menganalisis hal-hal yang akan terjadi di masa depan. Salah satunya adalah dengan meramalkan risiko dan peluang yang banyak digunakan dalam dunia bisnis.<\/span><\/p>\n<h3><span style=\"color: #000000;\">2. Untuk memberikan wawasan baru<\/span><\/h3>\n<p><span style=\"color: #000000;\">Fungsi yang kedua adalah untuk memberikan wawasan yang baru dan <em>fresh <\/em>bagi para pebisnis. Hal ini karena pebisnis sangat menyukai pegumpulan data-data terkait pelanggan mereka. Sehingga, metode ini merupakan salah satu metode yang sangat pas.<\/span><\/p>\n<h3><span style=\"color: #000000;\">3. Untuk meningkatkan efisiensi operasional<\/span><\/h3>\n<p><span style=\"color: #000000;\">Fungsi yang ketiga dapat digunakan dalam mengoptimalkan operasional bisnis. Sebagai contoh, seorang manajer pabrik pasti menghitung regresi untuk mengetahui dampak dari suhu oven saat memanggang roti maupun berapa lama waktu penyimpanannya setelah matang. Ini menjadi keunggulan karena mereka tidak perlu mengandai-andai dampak tanpa data riil.<\/span><\/p>\n<h3><span style=\"color: #000000;\">4. Untuk memperbaiki eror<\/span><\/h3>\n<p><span style=\"color: #000000;\">Seseorang yang paling teliti pasti tetap bisa melakukan kesalahan dalam pembuatan keputusan. Namun, dengan fungsi ini, masalah tersebut dapat teratasi karena fungsi ini dapat memperbaiki kekeliruan,\u00a0<\/span><\/p>\n<p><span style=\"color: #000000;\"><strong>BACA JUGA: <a style=\"color: #000000;\" href=\"https:\/\/superapp.id\/blog\/uncategorized\/rumus-deret-aritmatika\/\">Rumus Deret Aritmatika Beserta Contoh Soal &amp; Pembahasannya<\/a><\/strong><\/span><\/p>\n<h2><span style=\"color: #000000;\">Jenis- jenis Regresi<\/span><\/h2>\n<figure id=\"attachment_53296\" aria-describedby=\"caption-attachment-53296\" style=\"width: 690px\" class=\"wp-caption aligncenter\"><img loading=\"lazy\" decoding=\"async\" class=\"size-full wp-image-53296\" src=\"https:\/\/superapp.id\/blog\/wp-content\/uploads\/2022\/05\/REGRESI3.webp\" alt=\"REGRESI\" width=\"700\" height=\"466\" srcset=\"https:\/\/superapp.id\/blog\/wp-content\/uploads\/2022\/05\/REGRESI3.webp 700w, https:\/\/superapp.id\/blog\/wp-content\/uploads\/2022\/05\/REGRESI3-390x260.webp 390w, https:\/\/superapp.id\/blog\/wp-content\/uploads\/2022\/05\/REGRESI3-285x190.webp 285w\" sizes=\"(max-width: 700px) 100vw, 700px\" \/><figcaption id=\"caption-attachment-53296\" class=\"wp-caption-text\"><span style=\"color: #000000;\">iStock<\/span><\/figcaption><\/figure>\n<p><span style=\"color: #000000;\" data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;fungsi regresi\\r\\npersamaan regresi\\r\\ngaris regresi\\r\\njenis regresi\\r\\nregresi linear berganda\\r\\nfungsi regresi linear\\r\\nkoefisien regresi\\r\\ncara analisis regresi&quot;}\" data-sheets-userformat=\"{&quot;2&quot;:4540,&quot;5&quot;:{&quot;1&quot;:[{&quot;1&quot;:2,&quot;2&quot;:0,&quot;5&quot;:{&quot;1&quot;:2,&quot;2&quot;:0}},{&quot;1&quot;:0,&quot;2&quot;:0,&quot;3&quot;:3},{&quot;1&quot;:1,&quot;2&quot;:0,&quot;4&quot;:1}]},&quot;6&quot;:{&quot;1&quot;:[{&quot;1&quot;:2,&quot;2&quot;:0,&quot;5&quot;:{&quot;1&quot;:2,&quot;2&quot;:0}},{&quot;1&quot;:0,&quot;2&quot;:0,&quot;3&quot;:3},{&quot;1&quot;:1,&quot;2&quot;:0,&quot;4&quot;:1}]},&quot;7&quot;:{&quot;1&quot;:[{&quot;1&quot;:2,&quot;2&quot;:0,&quot;5&quot;:{&quot;1&quot;:2,&quot;2&quot;:0}},{&quot;1&quot;:0,&quot;2&quot;:0,&quot;3&quot;:3},{&quot;1&quot;:1,&quot;2&quot;:0,&quot;4&quot;:1}]},&quot;8&quot;:{&quot;1&quot;:[{&quot;1&quot;:2,&quot;2&quot;:0,&quot;5&quot;:{&quot;1&quot;:2,&quot;2&quot;:0}},{&quot;1&quot;:0,&quot;2&quot;:0,&quot;3&quot;:3},{&quot;1&quot;:1,&quot;2&quot;:0,&quot;4&quot;:1}]},&quot;10&quot;:2,&quot;11&quot;:3,&quot;15&quot;:&quot;Arial&quot;}\">Jenis regresi terbagi menjadi 2 variasi utama, yaitu linear dan linear berganda. Sementara itu, nonlinear tidak banyak diketahui dan digunakan dalah kehidupan sehari-hari karena hubungan antarvariabel tidak sejalan.<br \/>\n<\/span><\/p>\n<h3><span style=\"color: #000000;\" data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;fungsi regresi\\r\\npersamaan regresi\\r\\ngaris regresi\\r\\njenis regresi\\r\\nregresi linear berganda\\r\\nfungsi regresi linear\\r\\nkoefisien regresi\\r\\ncara analisis regresi&quot;}\" data-sheets-userformat=\"{&quot;2&quot;:4540,&quot;5&quot;:{&quot;1&quot;:[{&quot;1&quot;:2,&quot;2&quot;:0,&quot;5&quot;:{&quot;1&quot;:2,&quot;2&quot;:0}},{&quot;1&quot;:0,&quot;2&quot;:0,&quot;3&quot;:3},{&quot;1&quot;:1,&quot;2&quot;:0,&quot;4&quot;:1}]},&quot;6&quot;:{&quot;1&quot;:[{&quot;1&quot;:2,&quot;2&quot;:0,&quot;5&quot;:{&quot;1&quot;:2,&quot;2&quot;:0}},{&quot;1&quot;:0,&quot;2&quot;:0,&quot;3&quot;:3},{&quot;1&quot;:1,&quot;2&quot;:0,&quot;4&quot;:1}]},&quot;7&quot;:{&quot;1&quot;:[{&quot;1&quot;:2,&quot;2&quot;:0,&quot;5&quot;:{&quot;1&quot;:2,&quot;2&quot;:0}},{&quot;1&quot;:0,&quot;2&quot;:0,&quot;3&quot;:3},{&quot;1&quot;:1,&quot;2&quot;:0,&quot;4&quot;:1}]},&quot;8&quot;:{&quot;1&quot;:[{&quot;1&quot;:2,&quot;2&quot;:0,&quot;5&quot;:{&quot;1&quot;:2,&quot;2&quot;:0}},{&quot;1&quot;:0,&quot;2&quot;:0,&quot;3&quot;:3},{&quot;1&quot;:1,&quot;2&quot;:0,&quot;4&quot;:1}]},&quot;10&quot;:2,&quot;11&quot;:3,&quot;15&quot;:&quot;Arial&quot;}\">1. Regresi linear<\/span><\/h3>\n<p><span style=\"color: #000000;\">Merupakan model yang menunjukkan hubungan antara satu dependen variabel dengan satu independen variabel. Fungsi regresi linear adalah untuk mengetahui hubungan antara satu variabel bebas dan variabel terikat yang jumlahnya satu juga.<\/span><\/p>\n<h3><span style=\"color: #000000;\" data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;fungsi regresi\\r\\npersamaan regresi\\r\\ngaris regresi\\r\\njenis regresi\\r\\nregresi linear berganda\\r\\nfungsi regresi linear\\r\\nkoefisien regresi\\r\\ncara analisis regresi&quot;}\" data-sheets-userformat=\"{&quot;2&quot;:4540,&quot;5&quot;:{&quot;1&quot;:[{&quot;1&quot;:2,&quot;2&quot;:0,&quot;5&quot;:{&quot;1&quot;:2,&quot;2&quot;:0}},{&quot;1&quot;:0,&quot;2&quot;:0,&quot;3&quot;:3},{&quot;1&quot;:1,&quot;2&quot;:0,&quot;4&quot;:1}]},&quot;6&quot;:{&quot;1&quot;:[{&quot;1&quot;:2,&quot;2&quot;:0,&quot;5&quot;:{&quot;1&quot;:2,&quot;2&quot;:0}},{&quot;1&quot;:0,&quot;2&quot;:0,&quot;3&quot;:3},{&quot;1&quot;:1,&quot;2&quot;:0,&quot;4&quot;:1}]},&quot;7&quot;:{&quot;1&quot;:[{&quot;1&quot;:2,&quot;2&quot;:0,&quot;5&quot;:{&quot;1&quot;:2,&quot;2&quot;:0}},{&quot;1&quot;:0,&quot;2&quot;:0,&quot;3&quot;:3},{&quot;1&quot;:1,&quot;2&quot;:0,&quot;4&quot;:1}]},&quot;8&quot;:{&quot;1&quot;:[{&quot;1&quot;:2,&quot;2&quot;:0,&quot;5&quot;:{&quot;1&quot;:2,&quot;2&quot;:0}},{&quot;1&quot;:0,&quot;2&quot;:0,&quot;3&quot;:3},{&quot;1&quot;:1,&quot;2&quot;:0,&quot;4&quot;:1}]},&quot;10&quot;:2,&quot;11&quot;:3,&quot;15&quot;:&quot;Arial&quot;}\">2. Regresi linear berganda <\/span><\/h3>\n<p><span style=\"color: #000000;\" data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;fungsi regresi\\r\\npersamaan regresi\\r\\ngaris regresi\\r\\njenis regresi\\r\\nregresi linear berganda\\r\\nfungsi regresi linear\\r\\nkoefisien regresi\\r\\ncara analisis regresi&quot;}\" data-sheets-userformat=\"{&quot;2&quot;:4540,&quot;5&quot;:{&quot;1&quot;:[{&quot;1&quot;:2,&quot;2&quot;:0,&quot;5&quot;:{&quot;1&quot;:2,&quot;2&quot;:0}},{&quot;1&quot;:0,&quot;2&quot;:0,&quot;3&quot;:3},{&quot;1&quot;:1,&quot;2&quot;:0,&quot;4&quot;:1}]},&quot;6&quot;:{&quot;1&quot;:[{&quot;1&quot;:2,&quot;2&quot;:0,&quot;5&quot;:{&quot;1&quot;:2,&quot;2&quot;:0}},{&quot;1&quot;:0,&quot;2&quot;:0,&quot;3&quot;:3},{&quot;1&quot;:1,&quot;2&quot;:0,&quot;4&quot;:1}]},&quot;7&quot;:{&quot;1&quot;:[{&quot;1&quot;:2,&quot;2&quot;:0,&quot;5&quot;:{&quot;1&quot;:2,&quot;2&quot;:0}},{&quot;1&quot;:0,&quot;2&quot;:0,&quot;3&quot;:3},{&quot;1&quot;:1,&quot;2&quot;:0,&quot;4&quot;:1}]},&quot;8&quot;:{&quot;1&quot;:[{&quot;1&quot;:2,&quot;2&quot;:0,&quot;5&quot;:{&quot;1&quot;:2,&quot;2&quot;:0}},{&quot;1&quot;:0,&quot;2&quot;:0,&quot;3&quot;:3},{&quot;1&quot;:1,&quot;2&quot;:0,&quot;4&quot;:1}]},&quot;10&quot;:2,&quot;11&quot;:3,&quot;15&quot;:&quot;Arial&quot;}\">Regresi linear berganda pada dasarnya hampir sama dengan regresi linear, akan tetapi, jumlah variabel independennya dapat lebih dari satu. Fungsinya adalah untuk mengetahui seberapa besar pengaruh beberapa variabel bebas terhadap variabel tidak bebas dan juga dapat meramalkan nilai variabel tidak bebas apabila seluruh variabel bebas sudah diketahui nilainya.<br \/>\n<\/span><\/p>\n<h2><span style=\"color: #000000;\">Persamaan\u00a0<\/span><\/h2>\n<figure id=\"attachment_53297\" aria-describedby=\"caption-attachment-53297\" style=\"width: 690px\" class=\"wp-caption aligncenter\"><img loading=\"lazy\" decoding=\"async\" class=\"size-full wp-image-53297\" src=\"https:\/\/superapp.id\/blog\/wp-content\/uploads\/2022\/05\/REGRESI4.webp\" alt=\"statistik\" width=\"700\" height=\"467\" srcset=\"https:\/\/superapp.id\/blog\/wp-content\/uploads\/2022\/05\/REGRESI4.webp 700w, https:\/\/superapp.id\/blog\/wp-content\/uploads\/2022\/05\/REGRESI4-390x260.webp 390w, https:\/\/superapp.id\/blog\/wp-content\/uploads\/2022\/05\/REGRESI4-285x190.webp 285w\" sizes=\"(max-width: 700px) 100vw, 700px\" \/><figcaption id=\"caption-attachment-53297\" class=\"wp-caption-text\"><span style=\"color: #000000;\">iStock<\/span><\/figcaption><\/figure>\n<p><span style=\"color: #000000;\" data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;fungsi regresi\\r\\npersamaan regresi\\r\\ngaris regresi\\r\\njenis regresi\\r\\nregresi linear berganda\\r\\nfungsi regresi linear\\r\\nkoefisien regresi\\r\\ncara analisis regresi&quot;}\" data-sheets-userformat=\"{&quot;2&quot;:4540,&quot;5&quot;:{&quot;1&quot;:[{&quot;1&quot;:2,&quot;2&quot;:0,&quot;5&quot;:{&quot;1&quot;:2,&quot;2&quot;:0}},{&quot;1&quot;:0,&quot;2&quot;:0,&quot;3&quot;:3},{&quot;1&quot;:1,&quot;2&quot;:0,&quot;4&quot;:1}]},&quot;6&quot;:{&quot;1&quot;:[{&quot;1&quot;:2,&quot;2&quot;:0,&quot;5&quot;:{&quot;1&quot;:2,&quot;2&quot;:0}},{&quot;1&quot;:0,&quot;2&quot;:0,&quot;3&quot;:3},{&quot;1&quot;:1,&quot;2&quot;:0,&quot;4&quot;:1}]},&quot;7&quot;:{&quot;1&quot;:[{&quot;1&quot;:2,&quot;2&quot;:0,&quot;5&quot;:{&quot;1&quot;:2,&quot;2&quot;:0}},{&quot;1&quot;:0,&quot;2&quot;:0,&quot;3&quot;:3},{&quot;1&quot;:1,&quot;2&quot;:0,&quot;4&quot;:1}]},&quot;8&quot;:{&quot;1&quot;:[{&quot;1&quot;:2,&quot;2&quot;:0,&quot;5&quot;:{&quot;1&quot;:2,&quot;2&quot;:0}},{&quot;1&quot;:0,&quot;2&quot;:0,&quot;3&quot;:3},{&quot;1&quot;:1,&quot;2&quot;:0,&quot;4&quot;:1}]},&quot;10&quot;:2,&quot;11&quot;:3,&quot;15&quot;:&quot;Arial&quot;}\">Persamaan regresi adalah sebagai berikut:<br \/>\n<\/span><\/p>\n<p><span style=\"color: #000000;\">Y =\u00a0 a + bX<\/span><\/p>\n<p><span style=\"color: #000000;\">Keterangan:\u00a0<\/span><\/p>\n<p><span style=\"color: #000000;\">Y adalah variabel keriterium, a adalah variabel konstan, X adalah variabel prediktor, dan b adalah koefisien arah regresi linear.<\/span><\/p>\n<p><span style=\"color: #000000;\">Bentuk persamaan di atas sering dibaca sebagai regresi X atas Y. Koefisien arah linear dinyatakan dengan huruf b yang juga menyatakan perubahan rata-rata variabel Y untuk setiap satu bagian variabel X.<\/span><\/p>\n<p><span style=\"color: #000000;\">Bila harga b positif, maka variabel Y akan mengalami kenaikan. Sebaliknya, bila harga b negatif, maka variabel Y akan mengalami penurunan.<\/span><\/p>\n<p><span style=\"color: #000000;\"><strong>BACA JUGA: <a style=\"color: #000000;\" href=\"https:\/\/superapp.id\/blog\/lifestyle\/konjungsi-penerang\/\">Pengertian Konjungsi Penerang Beserta Jenis \u2013 Jenisnya<\/a><\/strong><\/span><\/p>\n<h2><span style=\"color: #000000;\">Rumus<\/span><\/h2>\n<figure id=\"attachment_53300\" aria-describedby=\"caption-attachment-53300\" style=\"width: 690px\" class=\"wp-caption aligncenter\"><img loading=\"lazy\" decoding=\"async\" class=\"size-full wp-image-53300\" src=\"https:\/\/superapp.id\/blog\/wp-content\/uploads\/2022\/05\/REGRESI7.webp\" alt=\"statistik\" width=\"700\" height=\"467\" srcset=\"https:\/\/superapp.id\/blog\/wp-content\/uploads\/2022\/05\/REGRESI7.webp 700w, https:\/\/superapp.id\/blog\/wp-content\/uploads\/2022\/05\/REGRESI7-390x260.webp 390w, https:\/\/superapp.id\/blog\/wp-content\/uploads\/2022\/05\/REGRESI7-285x190.webp 285w\" sizes=\"(max-width: 700px) 100vw, 700px\" \/><figcaption id=\"caption-attachment-53300\" class=\"wp-caption-text\"><span style=\"color: #000000;\">iStock<\/span><\/figcaption><\/figure>\n<p><span style=\"color: #000000;\">Rumus yang menyatakan model regresi adalah sebagai berikut.<\/span><\/p>\n<h2><span style=\"color: #000000;\">1. Linear<\/span><\/h2>\n<p><span style=\"color: #000000;\"><strong>Y = a +bX + \u20ac<\/strong><\/span><\/p>\n<p><span style=\"color: #000000;\">Keterangan:<\/span><\/p>\n<p><span style=\"color: #000000;\">Y = Variabel dependen<\/span><\/p>\n<p><span style=\"color: #000000;\">X = Variabel independen (penjelas)<\/span><\/p>\n<p><span style=\"color: #000000;\">a = Konstanta<\/span><\/p>\n<p><span style=\"color: #000000;\">b = Koefisien regresi<\/span><\/p>\n<p><span style=\"color: #000000;\">\u20ac = Eror atau residu<\/span><\/p>\n<h2><span style=\"color: #000000;\">2. Linear berganda<\/span><\/h2>\n<p><span style=\"color: #000000;\"><strong>Y = a +bX1 + cX2 + dX3 + \u20ac<\/strong><\/span><\/p>\n<p><span style=\"color: #000000;\">Keterangan:<\/span><\/p>\n<p><span style=\"color: #000000;\">Y = Variabel dependen<\/span><\/p>\n<p><span style=\"color: #000000;\">X1, cX2, X3\u00a0= Variabel independen (penjelas)<\/span><\/p>\n<p><span style=\"color: #000000;\">a = Konstanta<\/span><\/p>\n<p><span style=\"color: #000000;\">b, c, d = Koefisien regresi<\/span><\/p>\n<p><span style=\"color: #000000;\">\u20ac = Eror atau residu<\/span><\/p>\n<h2><span style=\"color: #000000;\">Garis regresi<\/span><\/h2>\n<figure id=\"attachment_53294\" aria-describedby=\"caption-attachment-53294\" style=\"width: 690px\" class=\"wp-caption aligncenter\"><img loading=\"lazy\" decoding=\"async\" class=\"size-full wp-image-53294\" src=\"https:\/\/superapp.id\/blog\/wp-content\/uploads\/2022\/05\/REGRESI.webp\" alt=\"statistik\" width=\"700\" height=\"571\" \/><figcaption id=\"caption-attachment-53294\" class=\"wp-caption-text\"><span style=\"color: #000000;\">iStock<\/span><\/figcaption><\/figure>\n<p><span style=\"color: #000000;\" data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;fungsi regresi\\r\\npersamaan regresi\\r\\ngaris regresi\\r\\njenis regresi\\r\\nregresi linear berganda\\r\\nfungsi regresi linear\\r\\nkoefisien regresi\\r\\ncara analisis regresi&quot;}\" data-sheets-userformat=\"{&quot;2&quot;:4540,&quot;5&quot;:{&quot;1&quot;:[{&quot;1&quot;:2,&quot;2&quot;:0,&quot;5&quot;:{&quot;1&quot;:2,&quot;2&quot;:0}},{&quot;1&quot;:0,&quot;2&quot;:0,&quot;3&quot;:3},{&quot;1&quot;:1,&quot;2&quot;:0,&quot;4&quot;:1}]},&quot;6&quot;:{&quot;1&quot;:[{&quot;1&quot;:2,&quot;2&quot;:0,&quot;5&quot;:{&quot;1&quot;:2,&quot;2&quot;:0}},{&quot;1&quot;:0,&quot;2&quot;:0,&quot;3&quot;:3},{&quot;1&quot;:1,&quot;2&quot;:0,&quot;4&quot;:1}]},&quot;7&quot;:{&quot;1&quot;:[{&quot;1&quot;:2,&quot;2&quot;:0,&quot;5&quot;:{&quot;1&quot;:2,&quot;2&quot;:0}},{&quot;1&quot;:0,&quot;2&quot;:0,&quot;3&quot;:3},{&quot;1&quot;:1,&quot;2&quot;:0,&quot;4&quot;:1}]},&quot;8&quot;:{&quot;1&quot;:[{&quot;1&quot;:2,&quot;2&quot;:0,&quot;5&quot;:{&quot;1&quot;:2,&quot;2&quot;:0}},{&quot;1&quot;:0,&quot;2&quot;:0,&quot;3&quot;:3},{&quot;1&quot;:1,&quot;2&quot;:0,&quot;4&quot;:1}]},&quot;10&quot;:2,&quot;11&quot;:3,&quot;15&quot;:&quot;Arial&quot;}\">Garis regresi (<em>regression line<\/em>) merupakan suatu garis\u00a0yang ditarik di antara titik-titik (<em>scatter diagram<\/em>) sedemikian rupa sehingga dapat digunakan untuk menaksir besarnya variabel yang satu berdasarkan besar variabel yang lain.\u00a0<\/span><\/p>\n<p><span style=\"color: #000000;\" data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;fungsi regresi\\r\\npersamaan regresi\\r\\ngaris regresi\\r\\njenis regresi\\r\\nregresi linear berganda\\r\\nfungsi regresi linear\\r\\nkoefisien regresi\\r\\ncara analisis regresi&quot;}\" data-sheets-userformat=\"{&quot;2&quot;:4540,&quot;5&quot;:{&quot;1&quot;:[{&quot;1&quot;:2,&quot;2&quot;:0,&quot;5&quot;:{&quot;1&quot;:2,&quot;2&quot;:0}},{&quot;1&quot;:0,&quot;2&quot;:0,&quot;3&quot;:3},{&quot;1&quot;:1,&quot;2&quot;:0,&quot;4&quot;:1}]},&quot;6&quot;:{&quot;1&quot;:[{&quot;1&quot;:2,&quot;2&quot;:0,&quot;5&quot;:{&quot;1&quot;:2,&quot;2&quot;:0}},{&quot;1&quot;:0,&quot;2&quot;:0,&quot;3&quot;:3},{&quot;1&quot;:1,&quot;2&quot;:0,&quot;4&quot;:1}]},&quot;7&quot;:{&quot;1&quot;:[{&quot;1&quot;:2,&quot;2&quot;:0,&quot;5&quot;:{&quot;1&quot;:2,&quot;2&quot;:0}},{&quot;1&quot;:0,&quot;2&quot;:0,&quot;3&quot;:3},{&quot;1&quot;:1,&quot;2&quot;:0,&quot;4&quot;:1}]},&quot;8&quot;:{&quot;1&quot;:[{&quot;1&quot;:2,&quot;2&quot;:0,&quot;5&quot;:{&quot;1&quot;:2,&quot;2&quot;:0}},{&quot;1&quot;:0,&quot;2&quot;:0,&quot;3&quot;:3},{&quot;1&quot;:1,&quot;2&quot;:0,&quot;4&quot;:1}]},&quot;10&quot;:2,&quot;11&quot;:3,&quot;15&quot;:&quot;Arial&quot;}\">Garis ini merupakan garis linear yang menunjukkan pola hubungan antara dua variabel, misalnya variabel X dan Y. Garis ini sebenarnya hanya berupa garis taksiran yang dipakai untuk mewakili pola sebaran data<br \/>\ntersebut.<\/span><\/p>\n<p><span style=\"color: #000000;\"><strong>BACA JUGA: <a style=\"color: #000000;\" href=\"https:\/\/superapp.id\/blog\/uncategorized\/bangun-datar\/\">8+ Jenis-jenis Bangun Datar Beserta Ciri-ciri dan Gambarnya<\/a><\/strong><\/span><\/p>\n<h2><span style=\"color: #000000;\">Koefisien regresi<\/span><\/h2>\n<figure id=\"attachment_53303\" aria-describedby=\"caption-attachment-53303\" style=\"width: 690px\" class=\"wp-caption aligncenter\"><img loading=\"lazy\" decoding=\"async\" class=\"size-full wp-image-53303\" src=\"https:\/\/superapp.id\/blog\/wp-content\/uploads\/2022\/05\/REGRESI9.webp\" alt=\"statistik\" width=\"700\" height=\"467\" srcset=\"https:\/\/superapp.id\/blog\/wp-content\/uploads\/2022\/05\/REGRESI9.webp 700w, https:\/\/superapp.id\/blog\/wp-content\/uploads\/2022\/05\/REGRESI9-390x260.webp 390w, https:\/\/superapp.id\/blog\/wp-content\/uploads\/2022\/05\/REGRESI9-285x190.webp 285w\" sizes=\"(max-width: 700px) 100vw, 700px\" \/><figcaption id=\"caption-attachment-53303\" class=\"wp-caption-text\"><span style=\"color: #000000;\">iStock<\/span><\/figcaption><\/figure>\n<p><span style=\"color: #000000;\" data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;fungsi regresi\\r\\npersamaan regresi\\r\\ngaris regresi\\r\\njenis regresi\\r\\nregresi linear berganda\\r\\nfungsi regresi linear\\r\\nkoefisien regresi\\r\\ncara analisis regresi&quot;}\" data-sheets-userformat=\"{&quot;2&quot;:4540,&quot;5&quot;:{&quot;1&quot;:[{&quot;1&quot;:2,&quot;2&quot;:0,&quot;5&quot;:{&quot;1&quot;:2,&quot;2&quot;:0}},{&quot;1&quot;:0,&quot;2&quot;:0,&quot;3&quot;:3},{&quot;1&quot;:1,&quot;2&quot;:0,&quot;4&quot;:1}]},&quot;6&quot;:{&quot;1&quot;:[{&quot;1&quot;:2,&quot;2&quot;:0,&quot;5&quot;:{&quot;1&quot;:2,&quot;2&quot;:0}},{&quot;1&quot;:0,&quot;2&quot;:0,&quot;3&quot;:3},{&quot;1&quot;:1,&quot;2&quot;:0,&quot;4&quot;:1}]},&quot;7&quot;:{&quot;1&quot;:[{&quot;1&quot;:2,&quot;2&quot;:0,&quot;5&quot;:{&quot;1&quot;:2,&quot;2&quot;:0}},{&quot;1&quot;:0,&quot;2&quot;:0,&quot;3&quot;:3},{&quot;1&quot;:1,&quot;2&quot;:0,&quot;4&quot;:1}]},&quot;8&quot;:{&quot;1&quot;:[{&quot;1&quot;:2,&quot;2&quot;:0,&quot;5&quot;:{&quot;1&quot;:2,&quot;2&quot;:0}},{&quot;1&quot;:0,&quot;2&quot;:0,&quot;3&quot;:3},{&quot;1&quot;:1,&quot;2&quot;:0,&quot;4&quot;:1}]},&quot;10&quot;:2,&quot;11&quot;:3,&quot;15&quot;:&quot;Arial&quot;}\">Koefisien regresi merupakan salah satu kontribusi besarnya perubahan nilai variabel bebas.\u00a0 Semakin besar nilai koefisien, maka kontribusi perubahannya semakin besar. Demikian pula sebaliknya, semakin kecil nilai koefisien, maka kontribusi perubahannya akan semakin lecil. Kontribusi perubahan variabel bebas (X) juga ditentukan oleh koefisien regresi positif atau negatif.<br \/>\n<\/span><\/p>\n<h2><span style=\"color: #000000;\">Cara analisis<\/span><\/h2>\n<figure id=\"attachment_53298\" aria-describedby=\"caption-attachment-53298\" style=\"width: 690px\" class=\"wp-caption aligncenter\"><img loading=\"lazy\" decoding=\"async\" class=\"size-full wp-image-53298\" src=\"https:\/\/superapp.id\/blog\/wp-content\/uploads\/2022\/05\/REGRESI5.webp\" alt=\"statistik\" width=\"700\" height=\"411\" \/><figcaption id=\"caption-attachment-53298\" class=\"wp-caption-text\"><span style=\"color: #000000;\">iStock<\/span><\/figcaption><\/figure>\n<p><span style=\"color: #000000;\" data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;fungsi regresi\\r\\npersamaan regresi\\r\\ngaris regresi\\r\\njenis regresi\\r\\nregresi linear berganda\\r\\nfungsi regresi linear\\r\\nkoefisien regresi\\r\\ncara analisis regresi&quot;}\" data-sheets-userformat=\"{&quot;2&quot;:4540,&quot;5&quot;:{&quot;1&quot;:[{&quot;1&quot;:2,&quot;2&quot;:0,&quot;5&quot;:{&quot;1&quot;:2,&quot;2&quot;:0}},{&quot;1&quot;:0,&quot;2&quot;:0,&quot;3&quot;:3},{&quot;1&quot;:1,&quot;2&quot;:0,&quot;4&quot;:1}]},&quot;6&quot;:{&quot;1&quot;:[{&quot;1&quot;:2,&quot;2&quot;:0,&quot;5&quot;:{&quot;1&quot;:2,&quot;2&quot;:0}},{&quot;1&quot;:0,&quot;2&quot;:0,&quot;3&quot;:3},{&quot;1&quot;:1,&quot;2&quot;:0,&quot;4&quot;:1}]},&quot;7&quot;:{&quot;1&quot;:[{&quot;1&quot;:2,&quot;2&quot;:0,&quot;5&quot;:{&quot;1&quot;:2,&quot;2&quot;:0}},{&quot;1&quot;:0,&quot;2&quot;:0,&quot;3&quot;:3},{&quot;1&quot;:1,&quot;2&quot;:0,&quot;4&quot;:1}]},&quot;8&quot;:{&quot;1&quot;:[{&quot;1&quot;:2,&quot;2&quot;:0,&quot;5&quot;:{&quot;1&quot;:2,&quot;2&quot;:0}},{&quot;1&quot;:0,&quot;2&quot;:0,&quot;3&quot;:3},{&quot;1&quot;:1,&quot;2&quot;:0,&quot;4&quot;:1}]},&quot;10&quot;:2,&quot;11&quot;:3,&quot;15&quot;:&quot;Arial&quot;}\">Cara analisis regresi dapat dilakukan dengan software SPSS. Berikut adalah langkah-langkahnya:<\/span><\/p>\n<ol>\n<li><span style=\"color: #000000;\">Input data pada worksheet SPSS berdasarkan masing-masing variabel.<\/span><\/li>\n<li><span style=\"color: #000000;\">Untuk data primer, maka harus di lakukan pengujian validitas &amp; pengujian reliabilitas. Sedangkan untuk data sekunder, dapat langsung di analisis regresi linier sederhana dan berganda.<\/span><\/li>\n<li><span style=\"color: #000000;\">Klik menu analyze.<\/span><\/li>\n<li><span style=\"color: #000000;\">Pilih submenu regression, klik linier.<\/span><\/li>\n<li><span style=\"color: #000000;\">Box dependent isikan: variabel terikat (Y).<\/span><\/li>\n<li><span style=\"color: #000000;\">Box independent isikan: variabel bebas (X) isikan X2,\u2026 untuk berganda.<\/span><\/li>\n<li><span style=\"color: #000000;\">Klik OK, tunggu sebentar hingga muncul output SPSS.<\/span><\/li>\n<\/ol>\n<p><span style=\"color: #000000;\"><strong>BACA JUGA: <a style=\"color: #000000;\" href=\"https:\/\/superapp.id\/blog\/uncategorized\/luas-trapesium\/\">Rumus Luas Trapesium Lengkap Beserta Contoh Soalnya<\/a><\/strong><\/span><\/p>\n<h2><span style=\"color: #000000;\">Manfaat yang akan didapatkan<\/span><\/h2>\n<figure id=\"attachment_53304\" aria-describedby=\"caption-attachment-53304\" style=\"width: 690px\" class=\"wp-caption aligncenter\"><img loading=\"lazy\" decoding=\"async\" class=\"size-full wp-image-53304\" src=\"https:\/\/superapp.id\/blog\/wp-content\/uploads\/2022\/05\/REGRESI10.webp\" alt=\"statistik\" width=\"700\" height=\"490\" \/><figcaption id=\"caption-attachment-53304\" class=\"wp-caption-text\"><span style=\"color: #000000;\">iStock<\/span><\/figcaption><\/figure>\n<p><span style=\"color: #000000;\">Beberapa manfaat analisis regresi antara lain:<\/span><\/p>\n<ol>\n<li><span style=\"color: #000000;\">Membuat estimasi rata-rata dan nilai variabel terikat yang didasarkan pada nilai variabel bebas.<\/span><\/li>\n<li><span style=\"color: #000000;\">Menguji hipotesis pada karakteristik dependensi.<\/span><\/li>\n<li><span style=\"color: #000000;\">Meramalkan nilai rata-rata variabel bebas yang didasarkan nilai variabel bebas diluar jangkauan sampel.<\/span><\/li>\n<\/ol>\n<h2><span style=\"color: #000000;\">Contoh-contoh<\/span><\/h2>\n<figure id=\"attachment_53299\" aria-describedby=\"caption-attachment-53299\" style=\"width: 690px\" class=\"wp-caption aligncenter\"><img loading=\"lazy\" decoding=\"async\" class=\"size-full wp-image-53299\" src=\"https:\/\/superapp.id\/blog\/wp-content\/uploads\/2022\/05\/REGRESI6.webp\" alt=\"statistik\" width=\"700\" height=\"350\" \/><figcaption id=\"caption-attachment-53299\" class=\"wp-caption-text\"><span style=\"color: #000000;\">iStock<\/span><\/figcaption><\/figure>\n<p><span style=\"color: #000000;\">Contoh analisis regresi adalah sebagai berikut:<\/span><\/p>\n<ol>\n<li><span style=\"color: #000000;\">Sedulur hendak menganalisis masa depan yang berkaitan dengan permintaan produk. Perkiraan yang akan muncul biasanya berkaitan dengan berapa jumlah produk yang akan dibeli oleh konsumen. Nah, hasil perkiraan ini dapat ditemukan dengan metode regresi. Tidak hanya itu, banyak perusahaan asuransi yang memakai regresi untuk mengestimasi status kredit dari nasabah dan perkiraan angka klaim dana dalam periode tertentu.<\/span><\/li>\n<li><span style=\"color: #000000;\">Untuk mencari data yang dapat menunjukkan lonjakan penjualan selama hari-hari tertentu dalam seminggu dan juga penurunannya juga di hari lainnya. Hal ini dapat dimanfaatkan oleh pihak terkait untuk mulai mencari bantuan ekstra, menyediakan stok yang tepat pada masing-masing hari, atau bahkan memastikan ketersediaan staf dan produk pemasaran di hari-hari tersebut.<\/span><\/li>\n<li><span style=\"color: #000000;\">Ketika seseorang merasa bahwa waktu buka toko yang diperpanjang\u00a0 dapat meningkatkan penjualan. Tapi ternyata, setelah menghitung regresi, keputusan tersebut malah merugikan perusahaan. Oleh karena itu, fungsi analisis regresi ini sangat berguna dalam menghindarkan kesalahan.<\/span><\/li>\n<\/ol>\n<p><span style=\"color: #000000;\"><div class=\"rltdpstsplgn-related-post-block\"><h4 class=\"rltdpstsplgn-related-title\"><\/h4><p>No related posts found...<\/p><\/div><\/span><\/p>\n<p><span style=\"color: #000000;\">Sekian informasi mengenai pengertian, fungsi, jenis, manfaat dan rumus regresi. Semoga artikel ini dapat membantu Sedulur dalam belajar.<\/span><\/p>\n<div dir=\"ltr\"><span style=\"color: #000000;\"><i>Mau belanja bulanan nggak pakai ribet?\u00a0<b>Aplikasi Super<\/b>\u00a0solusinya! Mulai dari sembako hingga kebutuhan rumah tangga tersedia lengkap. Selain harganya murah, Sedulur juga bisa merasakan kemudahan belanja lewat handphone. Nggak perlu keluar rumah, belanjaan pun langsung diantar. Yuk, unduh aplikasinya\u00a0<a style=\"color: #000000;\" href=\"https:\/\/bit.ly\/3g9Xqos\" target=\"_blank\" rel=\"noopener\" data-saferedirecturl=\"https:\/\/www.google.com\/url?q=https:\/\/bit.ly\/3g9Xqos&amp;source=gmail&amp;ust=1652321360801000&amp;usg=AOvVaw07GDbEEnhlI9tpc9M_bHBn\"><b>di sini<\/b><\/a>\u00a0sekarang!<\/i><\/span><\/div>\n<div dir=\"ltr\"><span style=\"color: #000000;\"><i>\u00a0<\/i><\/span><\/div>\n<div dir=\"ltr\"><span style=\"color: #000000;\"><i>Bagi Sedulur yang punya toko kelontong atau warung, bisa juga lho belanja grosir atau kulakan lewat\u00a0<b>Aplikasi Super<\/b>. Harga dijamin lebih murah dan bikin untung makin melimpah. Langsung\u00a0restok\u00a0isi\u00a0tokomu\u00a0<b><a style=\"color: #000000;\" href=\"https:\/\/bit.ly\/3g9Xqos\" target=\"_blank\" rel=\"noopener\" data-saferedirecturl=\"https:\/\/www.google.com\/url?q=https:\/\/bit.ly\/3g9Xqos&amp;source=gmail&amp;ust=1652321360801000&amp;usg=AOvVaw07GDbEEnhlI9tpc9M_bHBn\">di sini<\/a><\/b>\u00a0aja!<\/i><\/span><\/div>\n","protected":false},"excerpt":{"rendered":"","protected":false},"author":24,"featured_media":53581,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[3],"tags":[7140,7139,7138],"class_list":["post-53273","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-lifestyle","tag-analisis","tag-analisis-regresi","tag-regresi"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v19.2 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Regresi: Pengertian, Fungsi, Jenis, Manfaat dan 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