{"id":25278,"date":"2021-08-12T14:14:33","date_gmt":"2021-08-12T14:14:33","guid":{"rendered":"https:\/\/analystprep.com\/cfa-level-1-exam\/?p=25278"},"modified":"2026-04-20T09:40:00","modified_gmt":"2026-04-20T09:40:00","slug":"correlation","status":"publish","type":"post","link":"https:\/\/analystprep.com\/cfa-level-1-exam\/quantitative-methods\/correlation\/","title":{"rendered":"Correlation in CFA Level 1 (With Examples)"},"content":{"rendered":"\n<script type=\"application\/ld+json\">\n{\n  \"@context\": \"https:\/\/schema.org\",\n  \"@type\": \"VideoObject\",\n  \"name\": \"Organizing, Visualizing, and Describing Data \u2013 Part II: Measures of Central Tendency (Level I CFA)\",\n  \"description\": \"This CFA Level 1 Quantitative Methods study note covers topics like measures of central tendency, dispersion, skewness, kurtosis, and correlation with practical examples and exam tips.\",\n  \"uploadDate\": \"2021-10-08T00:00:00+00:00\",\n  \"thumbnailUrl\": \"https:\/\/img.youtube.com\/vi\/M0gKgPztSoM\/maxresdefault.jpg\",\n  \"contentUrl\": \"https:\/\/www.youtube.com\/watch?v=M0gKgPztSoM\",\n  \"embedUrl\": \"https:\/\/www.youtube.com\/embed\/M0gKgPztSoM\",\n  \"duration\": \"PT41M38S\"\n}\n<\/script>\n<script type=\"application\/ld+json\">\n{\n  \"@context\": \"https:\/\/schema.org\",\n  \"@type\": \"ImageObject\",\n  \"url\": \"https:\/\/analystprep.com\/cfa-level-1-exam\/wp-content\/uploads\/2021\/08\/Img_23.png\",\n  \"caption\": \"Correlation image showing the relationship between sets of data.\",\n  \"width\": 642,\n  \"height\": 593,\n  \"author\": \"AnalystPrep\",\n  \"license\": \"https:\/\/analystprep.com\/license\",\n  \"representativeOfPage\": true\n}\n<\/script>\n<script type=\"application\/ld+json\">\n{\n  \"@context\": \"https:\/\/schema.org\",\n  \"@type\": \"QAPage\",\n  \"mainEntity\": {\n    \"@type\": \"Question\",\n    \"name\": \"The correlation coefficient between X and Y is 0.7 and the covariance is 29. If the variance of Y is 25, the variance of X is closest to:\",\n    \"acceptedAnswer\": {\n      \"@type\": \"Answer\",\n      \"text\": \"The correct answer is C.\\n\\nUsing the formula rXY = sXY \/ (\u03c3X \u00d7 \u03c3Y):\\nr = 0.7, covariance = 29, \u03c3Y = \u221a25 = 5.\\n\\n0.7 = 29 \/ (\u03c3X \u00d7 5) \u21d2 \u03c3X = 8.2857.\\nVariance of X = (8.2857)^2 = 68.65.\"\n    },\n    \"suggestedAnswer\": [\n      {\n        \"@type\": \"Answer\",\n        \"text\": \"8.29\"\n      },\n      {\n        \"@type\": \"Answer\",\n        \"text\": \"29\"\n      },\n      {\n        \"@type\": \"Answer\",\n        \"text\": \"68.65\"\n      }\n    ],\n    \"answerCount\": 3\n  }\n}\n<\/script>\n\n\n\n<p>\n  <iframe loading=\"lazy\"\n    src=\"\/\/www.youtube.com\/embed\/M0gKgPztSoM\"\n    width=\"611\"\n    height=\"343\"\n    allowfullscreen=\"allowfullscreen\">\n  <\/iframe>\n<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Covariance<\/strong><\/h2>\n\n\n\n<p>Covariance is a measure of how two variables move together. The <strong>sample covariance <\/strong>of <em>X<\/em> and <em>Y<\/em> is calculated as follows:<\/p>\n\n\n\n<p>$$<br>\\mathrm{S}_{\\mathrm{XY}}=\\frac{\\sum_{\\mathrm{i}=1}^{\\mathrm{N}}\\left(\\mathrm{X}_{\\mathrm{i}}-\\overline{\\mathrm{X}}\\right)\\left(\\mathrm{Y}_{\\mathrm{i}}-\\overline{\\mathrm{Y}}\\right)}{\\mathrm{n}-1}<br>$$<\/p>\n\n\n\n<p>A major drawback of covariance is that it is difficult to interpret since its value can vary from negative infinity to positive infinity.<\/p>\n\n\n\n<div style=\"text-align:center;margin:25px 0;\">\n  <a href=\"https:\/\/analystprep.com\/free-trial\/\" target=\"_blank\"\n     style=\"display:inline-block;padding:12px 20px;border:2px solid #2f5cff;border-radius:999px;\n            color:#2f5cff;text-decoration:none;background:#f7f9fc;white-space:nowrap;\">\n     Understand covariance and correlation with our free trial.\n  <\/a>\n<\/div>\n\n\n<h2><strong>What is Correlation?<\/strong><\/h2>\n<p>Correlation is a measure of the linear relationship between two variables. It takes the covariance and divides it by the product of the standard deviations of both variables. As a result, its value ranges between -1 and +1 and is easier to interpret.<\/p>\n<p>The sample correlation coefficient is calculated as follows:<\/p>\n<p>$$ r_{X Y}=\\frac{s_{X Y}}{s_{x} \\times s_{y}} $$<\/p>\n<p>Where:<\/p>\n<p>\\(s_{X Y}\\) = Covariance between variable X and Y.<\/p>\n<p>\\(s_{X}\\) = Standard deviation of variable X.<\/p>\n<p>\\(s_{Y}\\) = Standard deviation of variable Y.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-31069 size-full\" style=\"max-width: 100%;\" src=\"https:\/\/analystprep.com\/cfa-level-1-exam\/wp-content\/uploads\/2021\/08\/Img_23.png\" alt=\"Correlation image showing relationship between sets of data\" width=\"1590\" height=\"1468\" srcset=\"https:\/\/analystprep.com\/cfa-level-1-exam\/wp-content\/uploads\/2021\/08\/Img_23.png 1590w, https:\/\/analystprep.com\/cfa-level-1-exam\/wp-content\/uploads\/2021\/08\/Img_23-300x277.png 300w, https:\/\/analystprep.com\/cfa-level-1-exam\/wp-content\/uploads\/2021\/08\/Img_23-1024x945.png 1024w, https:\/\/analystprep.com\/cfa-level-1-exam\/wp-content\/uploads\/2021\/08\/Img_23-768x709.png 768w, https:\/\/analystprep.com\/cfa-level-1-exam\/wp-content\/uploads\/2021\/08\/Img_23-1536x1418.png 1536w, https:\/\/analystprep.com\/cfa-level-1-exam\/wp-content\/uploads\/2021\/08\/Img_23-400x369.png 400w\" sizes=\"auto, (max-width: 1590px) 100vw, 1590px\" \/><\/p>\n<h3><strong>Properties of Correlation<\/strong><\/h3>\n<ul>\n<li>Correlation ranges between \u22121 to +1 for two random variables, <em>X <\/em>and <em>Y<\/em>.<\/li>\n<li>A correlation of 0 (uncorrelated variables) indicates no linear (straight line) relationship exists between the variables.<\/li>\n<li>A positive correlation close to +1 indicates a strong positive linear relationship.<\/li>\n<li>A correlation of 1 indicates a perfect linear relationship.<\/li>\n<li>A negative correlation close to \u22121 indicates a strong negative linear relationship.<\/li>\n<li>A correlation of \u22121 indicates a perfect inverse linear relationship.<\/li>\n<\/ul>\n<h3><strong>Limitations of Correlation Analysis<\/strong><\/h3>\n<ul>\n<li>Two variables can have a very low correlation despite having a strong <strong><em>nonlinear <\/em><\/strong>relationship.<\/li>\n<li>Correlation can be an unreliable measure when outliers are present in the data.<\/li>\n<li>Correlation does not imply causation. This implies that correlation may be spurious. A spurious correlation refers to:\n<ul>\n<li>correlation between two variables due to chance relationships in a particular dataset;<\/li>\n<li>correlation arising between variables when they are divided by a third variable; or<\/li>\n<li>correlation between two variables arising from their relation to a third variable.<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<blockquote>\n<h2><strong>Question<\/strong><\/h2>\n<p>The correlation coefficient between X and Y is 0.7 and the covariance is 29. If the variance of Y is 25, the variance of X is <em>closest <\/em>to:<\/p>\n<ol style=\"list-style-type: upper-alpha;\">\n<li>8.29.<\/li>\n<li>29.<\/li>\n<li>68.65.<\/li>\n<\/ol>\n<p><strong>Solution<\/strong><\/p>\n<p>The correct answer is <strong>C<\/strong>.<\/p>\n<p>$$\\begin{align} r_{X Y} &amp;=\\frac{s_{X Y}}{s_{X} \\times S_{Y}}\\\\ \\Rightarrow 0.7 &amp;=\\frac{29}{X \\bullet 5} \\\\ \\therefore X&amp;=8.2857\\\\ \\\\ \\text{Variance} &amp;=8.2857^2=68.65 \\end{align}$$<\/p>\n<\/blockquote>\n\n\n<div style=\"text-align:center;margin:40px 0;\">\n  <a href=\"https:\/\/analystprep.com\/free-trial\/\" target=\"_blank\"\n     style=\"display:inline-block;padding:14px 26px;background:#4a76d1;color:#fff;border-radius:999px;text-decoration:none;\">\n     Start Free Trial \u2192\n  <\/a>\n  <p style=\"margin-top:10px;\">\n    Learn how variables relate and move together with structured tools.\n  <\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>Covariance Covariance is a measure of how two variables move together. The sample covariance of X and Y is calculated as follows: $$\\mathrm{S}_{\\mathrm{XY}}=\\frac{\\sum_{\\mathrm{i}=1}^{\\mathrm{N}}\\left(\\mathrm{X}_{\\mathrm{i}}-\\overline{\\mathrm{X}}\\right)\\left(\\mathrm{Y}_{\\mathrm{i}}-\\overline{\\mathrm{Y}}\\right)}{\\mathrm{n}-1}$$ A major drawback of covariance is that it is difficult to interpret since its value can vary&#8230;<\/p>\n","protected":false},"author":15,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[2],"tags":[],"class_list":["post-25278","post","type-post","status-publish","format-standard","hentry","category-quantitative-methods","blog-post","no-post-thumbnail","animate"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.4 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Correlation in CFA Level 1| Correlation Questions<\/title>\n<meta name=\"description\" content=\"CFA Level 1 study notes on correlation: Understand positive correlation, strong positive linear correlation, and negative correlation with practical examples.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/analystprep.com\/cfa-level-1-exam\/quantitative-methods\/correlation\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Correlation in CFA Level 1| Correlation Questions\" \/>\n<meta property=\"og:description\" content=\"CFA Level 1 study notes on correlation: Understand positive correlation, strong positive linear correlation, and negative correlation with practical examples.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/analystprep.com\/cfa-level-1-exam\/quantitative-methods\/correlation\/\" \/>\n<meta property=\"og:site_name\" content=\"AnalystPrep | CFA\u00ae Exam Study Notes\" \/>\n<meta property=\"article:published_time\" content=\"2021-08-12T14:14:33+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2026-04-20T09:40:00+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/analystprep.com\/cfa-level-1-exam\/wp-content\/uploads\/2021\/08\/Img_23.png\" \/>\n\t<meta property=\"og:image:width\" content=\"1590\" \/>\n\t<meta property=\"og:image:height\" content=\"1468\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/png\" \/>\n<meta name=\"author\" content=\"Kosikos Tuitoek\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Kosikos Tuitoek\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"2 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\\\/\\\/analystprep.com\\\/cfa-level-1-exam\\\/quantitative-methods\\\/correlation\\\/#article\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/analystprep.com\\\/cfa-level-1-exam\\\/quantitative-methods\\\/correlation\\\/\"},\"author\":{\"name\":\"Kosikos Tuitoek\",\"@id\":\"https:\\\/\\\/analystprep.com\\\/cfa-level-1-exam\\\/#\\\/schema\\\/person\\\/73df713e3b6e82ee139e1eff20cebe20\"},\"headline\":\"Correlation in CFA Level 1 (With Examples)\",\"datePublished\":\"2021-08-12T14:14:33+00:00\",\"dateModified\":\"2026-04-20T09:40:00+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\\\/\\\/analystprep.com\\\/cfa-level-1-exam\\\/quantitative-methods\\\/correlation\\\/\"},\"wordCount\":407,\"image\":{\"@id\":\"https:\\\/\\\/analystprep.com\\\/cfa-level-1-exam\\\/quantitative-methods\\\/correlation\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/analystprep.com\\\/cfa-level-1-exam\\\/wp-content\\\/uploads\\\/2021\\\/08\\\/Img_23.png\",\"articleSection\":[\"Quantitative Methods\"],\"inLanguage\":\"en-US\"},{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/analystprep.com\\\/cfa-level-1-exam\\\/quantitative-methods\\\/correlation\\\/\",\"url\":\"https:\\\/\\\/analystprep.com\\\/cfa-level-1-exam\\\/quantitative-methods\\\/correlation\\\/\",\"name\":\"Correlation in CFA Level 1| Correlation Questions\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/analystprep.com\\\/cfa-level-1-exam\\\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\\\/\\\/analystprep.com\\\/cfa-level-1-exam\\\/quantitative-methods\\\/correlation\\\/#primaryimage\"},\"image\":{\"@id\":\"https:\\\/\\\/analystprep.com\\\/cfa-level-1-exam\\\/quantitative-methods\\\/correlation\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/analystprep.com\\\/cfa-level-1-exam\\\/wp-content\\\/uploads\\\/2021\\\/08\\\/Img_23.png\",\"datePublished\":\"2021-08-12T14:14:33+00:00\",\"dateModified\":\"2026-04-20T09:40:00+00:00\",\"author\":{\"@id\":\"https:\\\/\\\/analystprep.com\\\/cfa-level-1-exam\\\/#\\\/schema\\\/person\\\/73df713e3b6e82ee139e1eff20cebe20\"},\"description\":\"CFA Level 1 study notes on correlation: Understand positive correlation, strong positive linear correlation, and negative correlation with practical examples.\",\"breadcrumb\":{\"@id\":\"https:\\\/\\\/analystprep.com\\\/cfa-level-1-exam\\\/quantitative-methods\\\/correlation\\\/#breadcrumb\"},\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\\\/\\\/analystprep.com\\\/cfa-level-1-exam\\\/quantitative-methods\\\/correlation\\\/\"]}]},{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\\\/\\\/analystprep.com\\\/cfa-level-1-exam\\\/quantitative-methods\\\/correlation\\\/#primaryimage\",\"url\":\"https:\\\/\\\/analystprep.com\\\/cfa-level-1-exam\\\/wp-content\\\/uploads\\\/2021\\\/08\\\/Img_23.png\",\"contentUrl\":\"https:\\\/\\\/analystprep.com\\\/cfa-level-1-exam\\\/wp-content\\\/uploads\\\/2021\\\/08\\\/Img_23.png\",\"width\":1590,\"height\":1468},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\\\/\\\/analystprep.com\\\/cfa-level-1-exam\\\/quantitative-methods\\\/correlation\\\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\\\/\\\/analystprep.com\\\/cfa-level-1-exam\\\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Correlation in CFA Level 1 (With Examples)\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\\\/\\\/analystprep.com\\\/cfa-level-1-exam\\\/#website\",\"url\":\"https:\\\/\\\/analystprep.com\\\/cfa-level-1-exam\\\/\",\"name\":\"AnalystPrep | CFA\u00ae Exam Study Notes\",\"description\":\"\",\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\\\/\\\/analystprep.com\\\/cfa-level-1-exam\\\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"en-US\"},{\"@type\":\"Person\",\"@id\":\"https:\\\/\\\/analystprep.com\\\/cfa-level-1-exam\\\/#\\\/schema\\\/person\\\/73df713e3b6e82ee139e1eff20cebe20\",\"name\":\"Kosikos Tuitoek\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\\\/\\\/secure.gravatar.com\\\/avatar\\\/8260edaa3f7ba04cf6b536b3f7fd769007ecb789b3289ac0cc4c3ab8b3f7f061?s=96&d=mm&r=g\",\"url\":\"https:\\\/\\\/secure.gravatar.com\\\/avatar\\\/8260edaa3f7ba04cf6b536b3f7fd769007ecb789b3289ac0cc4c3ab8b3f7f061?s=96&d=mm&r=g\",\"contentUrl\":\"https:\\\/\\\/secure.gravatar.com\\\/avatar\\\/8260edaa3f7ba04cf6b536b3f7fd769007ecb789b3289ac0cc4c3ab8b3f7f061?s=96&d=mm&r=g\",\"caption\":\"Kosikos Tuitoek\"},\"url\":\"https:\\\/\\\/analystprep.com\\\/cfa-level-1-exam\\\/author\\\/kosikos-tuitoek-enockanalystprep-com\\\/\"}]}<\/script>\n<meta property=\"og:video\" content=\"https:\/\/www.youtube.com\/embed\/M0gKgPztSoM\" \/>\n<meta property=\"og:video:type\" content=\"text\/html\" \/>\n<meta property=\"og:video:duration\" content=\"2499\" \/>\n<meta property=\"og:video:width\" content=\"480\" \/>\n<meta property=\"og:video:height\" content=\"270\" \/>\n<meta property=\"ya:ovs:adult\" content=\"false\" \/>\n<meta property=\"ya:ovs:upload_date\" content=\"2021-08-12T14:14:33+00:00\" \/>\n<meta property=\"ya:ovs:allow_embed\" content=\"true\" \/>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"Correlation in CFA Level 1| Correlation Questions","description":"CFA Level 1 study notes on correlation: Understand positive correlation, strong positive linear correlation, and negative correlation with practical examples.","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:\/\/analystprep.com\/cfa-level-1-exam\/quantitative-methods\/correlation\/","og_locale":"en_US","og_type":"article","og_title":"Correlation in CFA Level 1| Correlation Questions","og_description":"CFA Level 1 study notes on correlation: Understand positive correlation, strong positive linear correlation, and negative correlation with practical examples.","og_url":"https:\/\/analystprep.com\/cfa-level-1-exam\/quantitative-methods\/correlation\/","og_site_name":"AnalystPrep | CFA\u00ae Exam Study Notes","article_published_time":"2021-08-12T14:14:33+00:00","article_modified_time":"2026-04-20T09:40:00+00:00","og_image":[{"width":1590,"height":1468,"url":"https:\/\/analystprep.com\/cfa-level-1-exam\/wp-content\/uploads\/2021\/08\/Img_23.png","type":"image\/png"}],"author":"Kosikos Tuitoek","twitter_card":"summary_large_image","twitter_misc":{"Written by":"Kosikos Tuitoek","Est. reading time":"2 minutes"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"Article","@id":"https:\/\/analystprep.com\/cfa-level-1-exam\/quantitative-methods\/correlation\/#article","isPartOf":{"@id":"https:\/\/analystprep.com\/cfa-level-1-exam\/quantitative-methods\/correlation\/"},"author":{"name":"Kosikos Tuitoek","@id":"https:\/\/analystprep.com\/cfa-level-1-exam\/#\/schema\/person\/73df713e3b6e82ee139e1eff20cebe20"},"headline":"Correlation in CFA Level 1 (With Examples)","datePublished":"2021-08-12T14:14:33+00:00","dateModified":"2026-04-20T09:40:00+00:00","mainEntityOfPage":{"@id":"https:\/\/analystprep.com\/cfa-level-1-exam\/quantitative-methods\/correlation\/"},"wordCount":407,"image":{"@id":"https:\/\/analystprep.com\/cfa-level-1-exam\/quantitative-methods\/correlation\/#primaryimage"},"thumbnailUrl":"https:\/\/analystprep.com\/cfa-level-1-exam\/wp-content\/uploads\/2021\/08\/Img_23.png","articleSection":["Quantitative Methods"],"inLanguage":"en-US"},{"@type":"WebPage","@id":"https:\/\/analystprep.com\/cfa-level-1-exam\/quantitative-methods\/correlation\/","url":"https:\/\/analystprep.com\/cfa-level-1-exam\/quantitative-methods\/correlation\/","name":"Correlation in CFA Level 1| Correlation Questions","isPartOf":{"@id":"https:\/\/analystprep.com\/cfa-level-1-exam\/#website"},"primaryImageOfPage":{"@id":"https:\/\/analystprep.com\/cfa-level-1-exam\/quantitative-methods\/correlation\/#primaryimage"},"image":{"@id":"https:\/\/analystprep.com\/cfa-level-1-exam\/quantitative-methods\/correlation\/#primaryimage"},"thumbnailUrl":"https:\/\/analystprep.com\/cfa-level-1-exam\/wp-content\/uploads\/2021\/08\/Img_23.png","datePublished":"2021-08-12T14:14:33+00:00","dateModified":"2026-04-20T09:40:00+00:00","author":{"@id":"https:\/\/analystprep.com\/cfa-level-1-exam\/#\/schema\/person\/73df713e3b6e82ee139e1eff20cebe20"},"description":"CFA Level 1 study notes on correlation: Understand positive correlation, strong positive linear correlation, and negative correlation with practical examples.","breadcrumb":{"@id":"https:\/\/analystprep.com\/cfa-level-1-exam\/quantitative-methods\/correlation\/#breadcrumb"},"inLanguage":"en-US","potentialAction":[{"@type":"ReadAction","target":["https:\/\/analystprep.com\/cfa-level-1-exam\/quantitative-methods\/correlation\/"]}]},{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/analystprep.com\/cfa-level-1-exam\/quantitative-methods\/correlation\/#primaryimage","url":"https:\/\/analystprep.com\/cfa-level-1-exam\/wp-content\/uploads\/2021\/08\/Img_23.png","contentUrl":"https:\/\/analystprep.com\/cfa-level-1-exam\/wp-content\/uploads\/2021\/08\/Img_23.png","width":1590,"height":1468},{"@type":"BreadcrumbList","@id":"https:\/\/analystprep.com\/cfa-level-1-exam\/quantitative-methods\/correlation\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/analystprep.com\/cfa-level-1-exam\/"},{"@type":"ListItem","position":2,"name":"Correlation in CFA Level 1 (With Examples)"}]},{"@type":"WebSite","@id":"https:\/\/analystprep.com\/cfa-level-1-exam\/#website","url":"https:\/\/analystprep.com\/cfa-level-1-exam\/","name":"AnalystPrep | CFA\u00ae Exam Study Notes","description":"","potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/analystprep.com\/cfa-level-1-exam\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"en-US"},{"@type":"Person","@id":"https:\/\/analystprep.com\/cfa-level-1-exam\/#\/schema\/person\/73df713e3b6e82ee139e1eff20cebe20","name":"Kosikos Tuitoek","image":{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/secure.gravatar.com\/avatar\/8260edaa3f7ba04cf6b536b3f7fd769007ecb789b3289ac0cc4c3ab8b3f7f061?s=96&d=mm&r=g","url":"https:\/\/secure.gravatar.com\/avatar\/8260edaa3f7ba04cf6b536b3f7fd769007ecb789b3289ac0cc4c3ab8b3f7f061?s=96&d=mm&r=g","contentUrl":"https:\/\/secure.gravatar.com\/avatar\/8260edaa3f7ba04cf6b536b3f7fd769007ecb789b3289ac0cc4c3ab8b3f7f061?s=96&d=mm&r=g","caption":"Kosikos Tuitoek"},"url":"https:\/\/analystprep.com\/cfa-level-1-exam\/author\/kosikos-tuitoek-enockanalystprep-com\/"}]},"og_video":"https:\/\/www.youtube.com\/embed\/M0gKgPztSoM","og_video_type":"text\/html","og_video_duration":"2499","og_video_width":"480","og_video_height":"270","ya_ovs_adult":"false","ya_ovs_upload_date":"2021-08-12T14:14:33+00:00","ya_ovs_allow_embed":"true"},"_links":{"self":[{"href":"https:\/\/analystprep.com\/cfa-level-1-exam\/wp-json\/wp\/v2\/posts\/25278","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/analystprep.com\/cfa-level-1-exam\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/analystprep.com\/cfa-level-1-exam\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/analystprep.com\/cfa-level-1-exam\/wp-json\/wp\/v2\/users\/15"}],"replies":[{"embeddable":true,"href":"https:\/\/analystprep.com\/cfa-level-1-exam\/wp-json\/wp\/v2\/comments?post=25278"}],"version-history":[{"count":40,"href":"https:\/\/analystprep.com\/cfa-level-1-exam\/wp-json\/wp\/v2\/posts\/25278\/revisions"}],"predecessor-version":[{"id":60454,"href":"https:\/\/analystprep.com\/cfa-level-1-exam\/wp-json\/wp\/v2\/posts\/25278\/revisions\/60454"}],"wp:attachment":[{"href":"https:\/\/analystprep.com\/cfa-level-1-exam\/wp-json\/wp\/v2\/media?parent=25278"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/analystprep.com\/cfa-level-1-exam\/wp-json\/wp\/v2\/categories?post=25278"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/analystprep.com\/cfa-level-1-exam\/wp-json\/wp\/v2\/tags?post=25278"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}