{"id":400,"date":"2025-07-15T13:34:46","date_gmt":"2025-07-15T13:34:46","guid":{"rendered":"https:\/\/functiontranslator.com\/2021\/02\/12\/rsq\/"},"modified":"2021-02-13T11:36:16","modified_gmt":"2021-02-13T11:36:16","slug":"rsq","status":"publish","type":"post","link":"https:\/\/functiontranslator.com\/en\/rsq\/","title":{"rendered":"RSQ"},"content":{"rendered":"<p>Today, we&#8217;ll delve into the RSQ function, a valuable statistical tool available in both Microsoft Excel and Google Sheets. The RSQ function is designed to compute the square of the Pearson Product Moment Correlation Coefficient (r) across two data arrays. Its resulting value ranges from 0 to 1, where 1 signals a perfect correlation, 0 denotes no correlation, and values in between represent varying strengths of correlation.<\/p>\n<h2>How it Works<\/h2>\n<p>The syntax for the RSQ function is consistent across both Excel and Google Sheets:<\/p>\n<pre><code>=RSQ(array1, array2)<\/code><\/pre>\n<p>Where:<\/p>\n<ul>\n<li><strong>array1<\/strong> &#8211; Represents the first set or range of cells filled with numerical data.<\/li>\n<li><strong>array2<\/strong> &#8211; Denotes the second set or range of cells filled with numerical data. Note that both arrays must contain an identical count of data points.<\/li>\n<\/ul>\n<h2>Examples of Usage<\/h2>\n<p>To grasp how the RSQ function operates, consider this straightforward example with dataset columns A and B:<\/p>\n<table>\n<tr>\n<th>Dataset 1<\/th>\n<th>Dataset 2<\/th>\n<\/tr>\n<tr>\n<td>2<\/td>\n<td>4<\/td>\n<\/tr>\n<tr>\n<td>4<\/td>\n<td>7<\/td>\n<\/tr>\n<tr>\n<td>6<\/td>\n<td>9<\/td>\n<\/tr>\n<tr>\n<td>8<\/td>\n<td>13<\/td>\n<\/tr>\n<\/table>\n<p>To determine the square of the correlation coefficient between these datasets, utilize the RSQ function as follows:<\/p>\n<pre><code>=RSQ(A2:A5, B2:B5)<\/code><\/pre>\n<p>This formula will produce the square of the correlation coefficient for the supplied datasets. A result of 1 implies a perfect positive correlation, whereas a result of 0 indicates no correlation.<\/p>\n<h2>Applications<\/h2>\n<p>The RSQ function proves extremely useful in a variety of settings, including financial analysis for assessing the relationships between different financial assets, sales assessments for gauging the influence of various factors on sales performance, and scientific research for data analysis in experimental studies.<\/p>\n<p>Employing the RSQ function within Excel and Google Sheets allows users to uncover significant insights into dataset relationships, thereby enabling well-informed, statistically backed decisions.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Returns the square of the Pearson product moment correlation coefficient<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[203],"tags":[],"class_list":["post-400","post","type-post","status-publish","format-standard","hentry","category-statistical"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v23.8 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Excel RSQ Function \u2013 How It Works, Formula Examples and Syntax<\/title>\n<meta name=\"description\" content=\"Learn what the Excel RSQ function does. 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