{"id":28434,"date":"2023-06-20T18:17:37","date_gmt":"2023-06-20T21:17:37","guid":{"rendered":"https:\/\/mindthegraph.com\/blog\/psychedelic-medicine-copy\/"},"modified":"2023-07-03T18:36:10","modified_gmt":"2023-07-03T21:36:10","slug":"regression-analysis","status":"publish","type":"post","link":"https:\/\/mindthegraph.com\/blog\/sk\/regresna-analyza\/","title":{"rendered":"Pou\u017e\u00edvanie regresnej anal\u00fdzy na pochopenie komplexn\u00fdch vz\u0165ahov"},"content":{"rendered":"<p>Regresn\u00e1 anal\u00fdza je pr\u00edstup na identifik\u00e1ciu a anal\u00fdzu vz\u0165ahu medzi jednou alebo viacer\u00fdmi nez\u00e1visl\u00fdmi premenn\u00fdmi a z\u00e1vislou premennou. T\u00e1to met\u00f3da sa vo ve\u013ekej miere pou\u017e\u00edva v r\u00f4znych odboroch vr\u00e1tane zdravotn\u00edctva, soci\u00e1lnych vied, in\u017einierstva, ekonomiky a podnikania. Pomocou regresnej anal\u00fdzy m\u00f4\u017eete sk\u00fama\u0165 z\u00e1kladn\u00e9 vz\u0165ahy v \u00fadajoch a vytv\u00e1ra\u0165 predik\u010dn\u00e9 modely, ktor\u00e9 v\u00e1m pom\u00f4\u017eu pri prij\u00edman\u00ed informovan\u00fdch rozhodnut\u00ed.<\/p>\n\n\n\n<p>Tento \u010dl\u00e1nok v\u00e1m poskytne komplexn\u00fd preh\u013ead regresnej anal\u00fdzy vr\u00e1tane jej fungovania, \u013eahko pochopite\u013en\u00e9ho pr\u00edkladu a vysvetl\u00ed, \u010d\u00edm sa l\u00ed\u0161i od korela\u010dnej anal\u00fdzy.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-what-is-regression-analysis\">\u010co je regresn\u00e1 anal\u00fdza?<\/h2>\n\n\n\n<p>Regresn\u00e1 anal\u00fdza je \u0161tatistick\u00e1 met\u00f3da na identifik\u00e1ciu a kvantifik\u00e1ciu vz\u0165ahu medzi z\u00e1vislou premennou a jednou alebo viacer\u00fdmi nez\u00e1visl\u00fdmi premenn\u00fdmi. V skratke v\u00e1m pom\u00f4\u017ee pochopi\u0165, ako zmeny jednej alebo viacer\u00fdch nez\u00e1visl\u00fdch premenn\u00fdch s\u00favisia so zmenami z\u00e1vislej premennej.<\/p>\n\n\n\n<p>Ak chcete d\u00f4kladne porozumie\u0165 regresnej anal\u00fdze, mus\u00edte najprv pochopi\u0165 nasleduj\u00face pojmy:<\/p>\n\n\n\n<ul>\n<li><strong>Z\u00e1visl\u00e1 premenn\u00e1: <\/strong>Toto je premenn\u00e1, ktor\u00fa chcete analyzova\u0165 alebo predpoveda\u0165. Je to v\u00fdsledn\u00e1 premenn\u00e1, ktor\u00fa sa sna\u017e\u00edte pochopi\u0165 a vysvetli\u0165.<\/li>\n\n\n\n<li><strong>Nez\u00e1visl\u00e9 premenn\u00e9: <\/strong>Ide o premenn\u00e9, ktor\u00e9 pod\u013ea v\u00e1s maj\u00fa vplyv na z\u00e1visl\u00fa premenn\u00fa. \u010casto sa ozna\u010duj\u00fa ako predikt\u00edvne premenn\u00e9, preto\u017ee sa pou\u017e\u00edvaj\u00fa na predpovedanie alebo vysvetlenie zmien z\u00e1vislej premennej.<\/li>\n<\/ul>\n\n\n\n<p>Regresn\u00fa anal\u00fdzu mo\u017eno pou\u017ei\u0165 za r\u00f4znych okolnost\u00ed, vr\u00e1tane predpovedania bud\u00facich hodn\u00f4t z\u00e1vislej premennej, pochopenia vplyvu nez\u00e1visl\u00fdch premenn\u00fdch na z\u00e1visl\u00fa premenn\u00fa a zistenia od\u013eahl\u00fdch hodn\u00f4t alebo neobvykl\u00fdch v\u00fdskytov pri zbere \u00fadajov.<\/p>\n\n\n\n<p>Regresn\u00fa anal\u00fdzu mo\u017eno rozdeli\u0165 na nieko\u013eko typov vr\u00e1tane jednoduchej line\u00e1rnej regresie, logistickej regresie, polynomickej regresie a viacn\u00e1sobnej regresie. Vhodn\u00fd regresn\u00fd model sa ur\u010duje pod\u013ea povahy \u00fadajov a predmetu sk\u00famania.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-how-does-regression-analysis-work\">Ako funguje regresn\u00e1 anal\u00fdza?<\/h2>\n\n\n\n<p>\u00da\u010delom regresnej anal\u00fdzy je identifikova\u0165 najlep\u0161ie pasuj\u00facu priamku alebo krivku, ktor\u00e1 odr\u00e1\u017ea vz\u0165ah medzi nez\u00e1visl\u00fdmi premenn\u00fdmi a z\u00e1vislou premennou. T\u00e1to najlep\u0161ie vyhovuj\u00faca priamka alebo krivka sa vytv\u00e1ra pomocou \u0161tatistick\u00fdch met\u00f3d, ktor\u00e9 zni\u017euj\u00fa rozdiely medzi o\u010dak\u00e1van\u00fdmi a skuto\u010dn\u00fdmi hodnotami v s\u00fabore \u00fadajov.<\/p>\n\n\n\n<p>Tu s\u00fa uveden\u00e9 vzorce pre dva najbe\u017enej\u0161ie typy regresnej anal\u00fdzy:<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"h-single-linear-regression\">Jednoduch\u00e1 line\u00e1rna regresia<\/h3>\n\n\n\n<p>V jednoduchej line\u00e1rnej regresii sa na zobrazenie vz\u0165ahu medzi dvoma premenn\u00fdmi: nez\u00e1vislou premennou (x) a z\u00e1vislou premennou (y) pou\u017e\u00edva priamka najlep\u0161ej zhody.<\/p>\n\n\n\n<p>Priamku najlep\u0161ej zhody mo\u017eno zn\u00e1zorni\u0165 rovnicou: y = a + bx.<\/p>\n\n\n\n<p>Tu a je priese\u010dn\u00edk, b je sklon priamky. Na v\u00fdpo\u010det sklonu sa pou\u017eije vzorec: b = (n\u03a3(xy) - \u03a3x\u03a3y) \/ (n\u03a3(x<sup>2<\/sup>) - (\u03a3x)<sup>2<\/sup>), kde n je po\u010det pozorovan\u00ed, \u03a3xy je s\u00fa\u010det s\u00fa\u010dinov x a y, \u03a3x a \u03a3y s\u00fa s\u00fa\u010dty x a y a \u03a3(x<sup>2<\/sup>) je s\u00fa\u010det \u0161tvorcov x.<\/p>\n\n\n\n<p>Na v\u00fdpo\u010det intercepcie sa pou\u017eije vzorec: a = (\u03a3y - b\u03a3x) \/ n.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"h-multiple-regression\">Viacn\u00e1sobn\u00e1 regresia&nbsp;<\/h3>\n\n\n\n<p>Viacn\u00e1sobn\u00e1 line\u00e1rna regresia:<\/p>\n\n\n\n<p>Vzorec pre rovnicu modelu viacn\u00e1sobnej line\u00e1rnej regresie je:<\/p>\n\n\n\n<blockquote class=\"wp-block-quote\">\n<p><strong>y = b<sub>0<\/sub> + b<sub>1<\/sub>x<sub>1<\/sub> + b<sub>2<\/sub>x<sub>2<\/sub> + ... + b<sub>n<\/sub>x<sub>n<\/sub><\/strong><\/p>\n<\/blockquote>\n\n\n\n<p>kde y je z\u00e1visl\u00e1 premenn\u00e1, x<sub>1<\/sub>, x<sub>2<\/sub>, ..., x<sub>n<\/sub> s\u00fa nez\u00e1visl\u00e9 premenn\u00e9 a b<sub>0<\/sub>, b<sub>1<\/sub>, b<sub>2<\/sub>, ..., bn s\u00fa koeficienty nez\u00e1visl\u00fdch premenn\u00fdch.<\/p>\n\n\n\n<p>Vzorec pre odhad koeficientov pomocou oby\u010dajn\u00fdch najmen\u0161\u00edch \u0161tvorcov je:<\/p>\n\n\n\n<blockquote class=\"wp-block-quote\">\n<p><strong>\u03b2 = (X'X)<sup>(-1)<\/sup>X'y<\/strong><\/p>\n<\/blockquote>\n\n\n\n<p>kde \u03b2 je st\u013apcov\u00fd vektor koeficientov, X je n\u00e1vrhov\u00e1 matica nez\u00e1visl\u00fdch premenn\u00fdch, X' je transpoz\u00edcia X a y je vektor pozorovan\u00ed z\u00e1vislej premennej.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-regression-analysis-example\">Pr\u00edklad regresnej anal\u00fdzy<\/h2>\n\n\n\n<p>Predpokladajme, \u017ee chcete presk\u00fama\u0165 s\u00favislos\u0165 medzi priemerom zn\u00e1mok (GPA) jednotlivca a po\u010dtom hod\u00edn \u0161t\u00fadia t\u00fd\u017edenne. Zhroma\u017e\u010fujete inform\u00e1cie od s\u00faboru \u0161tudentov vr\u00e1tane ich po\u010dtu \u0161tudijn\u00fdch hod\u00edn a priemeru zn\u00e1mok.<\/p>\n\n\n\n<p>Potom pomocou regresnej anal\u00fdzy zistite, \u010di medzi oboma premenn\u00fdmi existuje line\u00e1rna s\u00favislos\u0165, a ak \u00e1no, m\u00f4\u017eete vytvori\u0165 model, ktor\u00fd predpoved\u00e1 priemern\u00fd \u0161tudijn\u00fd v\u00fdkon \u0161tudenta na z\u00e1klade po\u010dtu hod\u00edn \u0161t\u00fadia za t\u00fd\u017ede\u0148.<\/p>\n\n\n\n<div style=\"height:21px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter is-resized\"><img decoding=\"async\" loading=\"lazy\" src=\"https:\/\/lh5.googleusercontent.com\/jY2vs2UsuRYMfVS7ZwPuk_epkVR-Yl7jnG8al1mDmUs6L8YsZ_X3WwNFy40jDCareFFtyOzL6b_DXIhO8FrJR1CMyVwg_rHyE1jycXX-LGWLsUf4LTzWV4L35ObUSidK1EsF136nqG-tHj_zjStgbbA\" alt=\"\" width=\"505\" height=\"263\"\/><figcaption class=\"wp-element-caption\"><em>Obr\u00e1zok je k dispoz\u00edcii na <a href=\"https:\/\/www.alchemer.com\" target=\"_blank\" rel=\"noreferrer noopener\">alchemer.com<\/a><\/em><\/figcaption><\/figure><\/div>\n\n\n<p><a href=\"https:\/\/www.alchemer.com\/wp-content\/uploads\/2019\/04\/regression-analysis-1.png\"><\/a><\/p>\n\n\n\n<div style=\"height:21px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<p>Ke\u010f sa \u00fadaje zn\u00e1zornia na mape rozptylu, uk\u00e1\u017ee sa, \u017ee medzi po\u010dtom hod\u00edn \u0161t\u00fadia a GPA existuje priazniv\u00fd line\u00e1rny vz\u0165ah. Sklon a priese\u010dn\u00edk priamky najlep\u0161ej zhody sa potom odhadn\u00fa pomocou jednoduch\u00e9ho line\u00e1rneho regresn\u00e9ho modelu. Kone\u010dn\u00e9 rie\u0161enie by mohlo vyzera\u0165 takto:<\/p>\n\n\n\n<p>GPA = 2,0 + 0,3 (po\u010det odu\u010den\u00fdch hod\u00edn za t\u00fd\u017ede\u0148)<\/p>\n\n\n\n<div style=\"height:21px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter is-resized\"><img decoding=\"async\" loading=\"lazy\" src=\"https:\/\/lh6.googleusercontent.com\/plMkcFRz9dE-xiHm7wkzhCBplbaGIBdvzy4y8LmGqBEaFAMV72IUx7DRx8uvaU_TVMkcOlwcgH_s12NMZFjni4gWrlANjcBH2RqyoFKzrks9q3SGUDpnd_ILZZ4ookIPxD-PJ2T5L-HS3GaWCJf8yEE\" alt=\"\" width=\"505\" height=\"263\"\/><figcaption class=\"wp-element-caption\"><em><em>Obr\u00e1zok je k dispoz\u00edcii na <a href=\"https:\/\/www.alchemer.com\" target=\"_blank\" rel=\"noreferrer noopener\">alchemer.com<\/a><\/em><\/em><\/figcaption><\/figure><\/div>\n\n\n<p><a href=\"https:\/\/www.alchemer.com\/wp-content\/uploads\/2019\/04\/regression-analysis-2.png\"><\/a><\/p>\n\n\n\n<div style=\"height:21px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<p>T\u00e1to rovnica hovor\u00ed, \u017ee za ka\u017ed\u00fa hodinu \u0161t\u00fadia t\u00fd\u017edenne navy\u0161e sa \u0161tudentovi zv\u00fd\u0161i GPA o 0,3 bodu, pri\u010dom v\u0161etko ostatn\u00e9 je rovnocenn\u00e9. Tento algoritmus sa d\u00e1 pou\u017ei\u0165 na predpovedanie GPA \u0161tudenta na z\u00e1klade toho, ko\u013eko hod\u00edn t\u00fd\u017edenne \u0161tuduje, ako aj na identifik\u00e1ciu \u0161tudentov, u ktor\u00fdch hroz\u00ed riziko slab\u0161\u00edch v\u00fdsledkov na z\u00e1klade ich \u0161tudijn\u00fdch n\u00e1vykov.&nbsp;<\/p>\n\n\n\n<p>Na z\u00e1klade \u00fadajov z pr\u00edkladu sa ur\u010dia hodnoty pre <strong>b<\/strong> a <strong>a<\/strong> s\u00fa tieto:<\/p>\n\n\n\n<p>n = 10 (po\u010det pozorovan\u00ed)<\/p>\n\n\n\n<p>\u03a3x = 30 (s\u00fa\u010det \u0161tudijn\u00fdch hod\u00edn)<\/p>\n\n\n\n<p>\u03a3y = 25 (s\u00fa\u010det priemerov GPA)<\/p>\n\n\n\n<p>\u03a3xy = 149 (s\u00fa\u010det s\u00fa\u010dinu \u0161tudijn\u00fdch hod\u00edn a priemern\u00fdch \u0161tudijn\u00fdch v\u00fdsledkov)<\/p>\n\n\n\n<p>\u03a3(x)<sup>2<\/sup> = 102 (s\u00fa\u010det \u0161tvorcov \u0161tudijn\u00fdch hod\u00edn)<\/p>\n\n\n\n<p>Na z\u00e1klade t\u00fdchto hodn\u00f4t vypo\u010d\u00edtajte <strong>b<\/strong> ako:<\/p>\n\n\n\n<p>b = (n\u03a3(xy) - \u03a3x\u03a3y) \/ (n\u03a3(x<sup>2<\/sup>) - (\u03a3x)<sup>2<\/sup>)<\/p>\n\n\n\n<p>= (10 * 149 &#8211; 30 * 25) \/ (10 * 102 &#8211; 30<sup>2<\/sup>)<\/p>\n\n\n\n<p>= 0.3<\/p>\n\n\n\n<p>A vypo\u010d\u00edta\u0165 <strong>a <\/strong>ako:<\/p>\n\n\n\n<p>a = (\u03a3y - b\u03a3x) \/ n<\/p>\n\n\n\n<p>= (25 &#8211; 0.3 * 30) \/ 10<\/p>\n\n\n\n<p>= 2.0<\/p>\n\n\n\n<p>Rovnica priamky najlep\u0161ej zhody je teda:&nbsp;<\/p>\n\n\n\n<p>GPA = 2,0 + 0,3 (po\u010det odu\u010den\u00fdch hod\u00edn za t\u00fd\u017ede\u0148)<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-what-is-the-difference-between-correlation-and-regression\">Ak\u00fd je rozdiel medzi korel\u00e1ciou a regresiou?<\/h2>\n\n\n\n<p>Korel\u00e1cia aj regresia s\u00fa \u0161tatistick\u00e9 met\u00f3dy na sk\u00famanie s\u00favislosti medzi dvoma premenn\u00fdmi. Sl\u00fa\u017eia na r\u00f4zne \u00fa\u010dely a poskytuj\u00fa r\u00f4zne typy inform\u00e1ci\u00ed.<\/p>\n\n\n\n<p>Korel\u00e1cia je miera sily a priebehu s\u00favislosti medzi dvoma premenn\u00fdmi. Pohybuje sa od -1 do +1, pri\u010dom -1 predstavuje dokonal\u00fa negat\u00edvnu korel\u00e1ciu, 0 predstavuje \u017eiadnu korel\u00e1ciu a +1 predstavuje dokonal\u00fa pozit\u00edvnu korel\u00e1ciu. Korel\u00e1cia ud\u00e1va mieru prepojenia dvoch premenn\u00fdch, ale neozna\u010duje pr\u00ed\u010dinu ani predv\u00eddate\u013enos\u0165.<\/p>\n\n\n\n<p>Regresia je na druhej strane met\u00f3da modelovania vz\u0165ahu medzi dvoma premenn\u00fdmi, zvy\u010dajne s cie\u013eom predpoveda\u0165 alebo vysvetli\u0165 jednu premenn\u00fa na z\u00e1klade druhej. Regresn\u00e1 anal\u00fdza m\u00f4\u017ee poskytn\u00fa\u0165 odhady ve\u013ekosti a smeru vz\u0165ahu, ako aj testy \u0161tatistickej v\u00fdznamnosti, intervaly spo\u013eahlivosti a progn\u00f3zy bud\u00facich v\u00fdsledkov.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-your-creations-ready-within-minutes\">Va\u0161e v\u00fdtvory, pripraven\u00e9 v priebehu nieko\u013ek\u00fdch min\u00fat<\/h2>\n\n\n\n<p><a href=\"https:\/\/mindthegraph.com\" target=\"_blank\" rel=\"noreferrer noopener\">Mind the Graph<\/a> je online platforma, ktor\u00e1 v\u00e1m pon\u00faka rozsiahlu kni\u017enicu vedeck\u00fdch ilustr\u00e1ci\u00ed a infografiky, ktor\u00e9 mo\u017eno jednoducho upravi\u0165 pod\u013ea va\u0161ich jedine\u010dn\u00fdch potrieb. Pomocou rozhrania drag-and-drop a \u0161irokej \u0161k\u00e1ly n\u00e1strojov a funkci\u00ed vytvor\u00edte profesion\u00e1lne vyzeraj\u00face grafy, plag\u00e1ty a grafick\u00e9 abstrakty za nieko\u013eko min\u00fat.&nbsp;<\/p>\n\n\n\n<div style=\"height:21px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-full\"><img decoding=\"async\" loading=\"lazy\" width=\"800\" height=\"500\" src=\"https:\/\/mindthegraph.com\/blog\/wp-content\/uploads\/2023\/05\/banco.gif\" alt=\"\" class=\"wp-image-28087\"\/><\/figure><\/div>\n\n\n<div style=\"height:21px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<div class=\"is-layout-flex wp-block-buttons\">\n<div class=\"wp-block-button aligncenter\"><a class=\"wp-block-button__link has-background wp-element-button\" href=\"https:\/\/mindthegraph.com\/\" style=\"border-radius:50px;background-color:#dc1866\" target=\"_blank\" rel=\"noreferrer noopener\">Za\u010dnite tvori\u0165 s Mind the Graph<\/a><\/div>\n<\/div>\n\n\n\n<div style=\"height:44px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>","protected":false},"excerpt":{"rendered":"<p>Pochopte, ako funguje regresn\u00e1 anal\u00fdza, na komplexnom pr\u00edklade a nau\u010dte sa najbe\u017enej\u0161ie vzorce. <\/p>","protected":false},"author":28,"featured_media":28437,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":[],"categories":[959,28],"tags":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v19.9 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Using Regression Analysis to Understand Complex Relationships - Mind the Graph Blog<\/title>\n<meta name=\"description\" content=\"Understand how regression analysis works with ease using a comprehensive example and learn the most common formulas.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/mindthegraph.com\/blog\/sk\/\u0440\u0435\u0433\u0440\u0435\u0441\u0456\u0439\u043d\u0438\u0439-\u0430\u043d\u0430\u043b\u0456\u0437\/\" \/>\n<meta property=\"og:locale\" content=\"sk_SK\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Using Regression Analysis to Understand Complex Relationships\" \/>\n<meta property=\"og:description\" content=\"Understand how regression analysis works with ease using a comprehensive example and learn the most common formulas.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/mindthegraph.com\/blog\/sk\/\u0440\u0435\u0433\u0440\u0435\u0441\u0456\u0439\u043d\u0438\u0439-\u0430\u043d\u0430\u043b\u0456\u0437\/\" \/>\n<meta property=\"og:site_name\" content=\"Mind the Graph Blog\" \/>\n<meta property=\"article:published_time\" content=\"2023-06-20T21:17:37+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2023-07-03T21:36:10+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/mindthegraph.com\/blog\/wp-content\/uploads\/2023\/07\/regression-analysis-blog.png\" \/>\n\t<meta property=\"og:image:width\" content=\"1124\" \/>\n\t<meta property=\"og:image:height\" content=\"613\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/png\" \/>\n<meta name=\"author\" content=\"Jessica Abbadia\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:title\" content=\"Using Regression Analysis to Understand Complex Relationships\" \/>\n<meta name=\"twitter:description\" content=\"Understand how regression analysis works with ease using a comprehensive example and learn the most common formulas.\" \/>\n<meta name=\"twitter:image\" content=\"https:\/\/mindthegraph.com\/blog\/wp-content\/uploads\/2023\/07\/regression-analysis-blog.png\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Jessica Abbadia\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"6 minutes\" \/>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"Using Regression Analysis to Understand Complex Relationships - Mind the Graph Blog","description":"Understand how regression analysis works with ease using a comprehensive example and learn the most common formulas.","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/mindthegraph.com\/blog\/sk\/\u0440\u0435\u0433\u0440\u0435\u0441\u0456\u0439\u043d\u0438\u0439-\u0430\u043d\u0430\u043b\u0456\u0437\/","og_locale":"sk_SK","og_type":"article","og_title":"Using Regression Analysis to Understand Complex Relationships","og_description":"Understand how regression analysis works with ease using a comprehensive example and learn the most common formulas.","og_url":"https:\/\/mindthegraph.com\/blog\/sk\/\u0440\u0435\u0433\u0440\u0435\u0441\u0456\u0439\u043d\u0438\u0439-\u0430\u043d\u0430\u043b\u0456\u0437\/","og_site_name":"Mind the Graph Blog","article_published_time":"2023-06-20T21:17:37+00:00","article_modified_time":"2023-07-03T21:36:10+00:00","og_image":[{"width":1124,"height":613,"url":"https:\/\/mindthegraph.com\/blog\/wp-content\/uploads\/2023\/07\/regression-analysis-blog.png","type":"image\/png"}],"author":"Jessica Abbadia","twitter_card":"summary_large_image","twitter_title":"Using Regression Analysis to Understand Complex Relationships","twitter_description":"Understand how regression analysis works with ease using a comprehensive example and learn the most common formulas.","twitter_image":"https:\/\/mindthegraph.com\/blog\/wp-content\/uploads\/2023\/07\/regression-analysis-blog.png","twitter_misc":{"Written by":"Jessica Abbadia","Est. reading time":"6 minutes"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"WebPage","@id":"https:\/\/mindthegraph.com\/blog\/uk\/%d1%80%d0%b5%d0%b3%d1%80%d0%b5%d1%81%d1%96%d0%b9%d0%bd%d0%b8%d0%b9-%d0%b0%d0%bd%d0%b0%d0%bb%d1%96%d0%b7\/","url":"https:\/\/mindthegraph.com\/blog\/uk\/%d1%80%d0%b5%d0%b3%d1%80%d0%b5%d1%81%d1%96%d0%b9%d0%bd%d0%b8%d0%b9-%d0%b0%d0%bd%d0%b0%d0%bb%d1%96%d0%b7\/","name":"Using Regression Analysis to Understand Complex Relationships - Mind the Graph Blog","isPartOf":{"@id":"https:\/\/mindthegraph.com\/blog\/#website"},"datePublished":"2023-06-20T21:17:37+00:00","dateModified":"2023-07-03T21:36:10+00:00","author":{"@id":"https:\/\/mindthegraph.com\/blog\/#\/schema\/person\/96ecc2d785106e951f7773dc7c96d699"},"description":"Understand how regression analysis works with ease using a comprehensive example and learn the most common formulas.","breadcrumb":{"@id":"https:\/\/mindthegraph.com\/blog\/uk\/%d1%80%d0%b5%d0%b3%d1%80%d0%b5%d1%81%d1%96%d0%b9%d0%bd%d0%b8%d0%b9-%d0%b0%d0%bd%d0%b0%d0%bb%d1%96%d0%b7\/#breadcrumb"},"inLanguage":"sk-SK","potentialAction":[{"@type":"ReadAction","target":["https:\/\/mindthegraph.com\/blog\/uk\/%d1%80%d0%b5%d0%b3%d1%80%d0%b5%d1%81%d1%96%d0%b9%d0%bd%d0%b8%d0%b9-%d0%b0%d0%bd%d0%b0%d0%bb%d1%96%d0%b7\/"]}]},{"@type":"BreadcrumbList","@id":"https:\/\/mindthegraph.com\/blog\/uk\/%d1%80%d0%b5%d0%b3%d1%80%d0%b5%d1%81%d1%96%d0%b9%d0%bd%d0%b8%d0%b9-%d0%b0%d0%bd%d0%b0%d0%bb%d1%96%d0%b7\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/mindthegraph.com\/blog\/"},{"@type":"ListItem","position":2,"name":"Using Regression Analysis to Understand Complex Relationships"}]},{"@type":"WebSite","@id":"https:\/\/mindthegraph.com\/blog\/#website","url":"https:\/\/mindthegraph.com\/blog\/","name":"Mind the Graph Blog","description":"Your science can be beautiful!","potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/mindthegraph.com\/blog\/?s={search_term_string}"},"query-input":"required name=search_term_string"}],"inLanguage":"sk-SK"},{"@type":"Person","@id":"https:\/\/mindthegraph.com\/blog\/#\/schema\/person\/96ecc2d785106e951f7773dc7c96d699","name":"Jessica Abbadia","image":{"@type":"ImageObject","inLanguage":"sk-SK","@id":"https:\/\/mindthegraph.com\/blog\/#\/schema\/person\/image\/","url":"https:\/\/secure.gravatar.com\/avatar\/f477bd20199beb376b04b2fda9a2cec5?s=96&d=mm&r=g","contentUrl":"https:\/\/secure.gravatar.com\/avatar\/f477bd20199beb376b04b2fda9a2cec5?s=96&d=mm&r=g","caption":"Jessica Abbadia"},"description":"Jessica Abbadia is a lawyer that has been working in Digital Marketing since 2020, improving organic performance for apps and websites in various regions through ASO and SEO. Currently developing scientific and intellectual knowledge for the community's benefit. Jessica is an animal rights activist who enjoys reading and drinking strong coffee.","sameAs":["https:\/\/www.linkedin.com\/in\/jessica-abbadia-9b834a13b\/"],"url":"https:\/\/mindthegraph.com\/blog\/sk\/author\/jessica\/"}]}},"_links":{"self":[{"href":"https:\/\/mindthegraph.com\/blog\/sk\/wp-json\/wp\/v2\/posts\/28434"}],"collection":[{"href":"https:\/\/mindthegraph.com\/blog\/sk\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/mindthegraph.com\/blog\/sk\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/mindthegraph.com\/blog\/sk\/wp-json\/wp\/v2\/users\/28"}],"replies":[{"embeddable":true,"href":"https:\/\/mindthegraph.com\/blog\/sk\/wp-json\/wp\/v2\/comments?post=28434"}],"version-history":[{"count":4,"href":"https:\/\/mindthegraph.com\/blog\/sk\/wp-json\/wp\/v2\/posts\/28434\/revisions"}],"predecessor-version":[{"id":28445,"href":"https:\/\/mindthegraph.com\/blog\/sk\/wp-json\/wp\/v2\/posts\/28434\/revisions\/28445"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/mindthegraph.com\/blog\/sk\/wp-json\/wp\/v2\/media\/28437"}],"wp:attachment":[{"href":"https:\/\/mindthegraph.com\/blog\/sk\/wp-json\/wp\/v2\/media?parent=28434"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/mindthegraph.com\/blog\/sk\/wp-json\/wp\/v2\/categories?post=28434"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/mindthegraph.com\/blog\/sk\/wp-json\/wp\/v2\/tags?post=28434"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}