{"id":439,"date":"2025-07-15T13:34:46","date_gmt":"2025-07-15T13:34:46","guid":{"rendered":"https:\/\/functiontranslator.com\/2021\/02\/12\/sumxmy2\/"},"modified":"2021-02-13T11:36:35","modified_gmt":"2021-02-13T11:36:35","slug":"sumxmy2","status":"publish","type":"post","link":"https:\/\/functiontranslator.com\/en\/sumxmy2\/","title":{"rendered":"SUMXMY2"},"content":{"rendered":"<p>Today, we will delve into the <strong>SUMXMY2<\/strong> function, a robust mathematical tool available in both Excel and Google Sheets. This function efficiently computes the sum of the squares of differences between corresponding entries in two arrays or ranges.<\/p>\n<h2>Function Syntax<\/h2>\n<p>The syntax for the SUMXMY2 function is as follows:<\/p>\n<pre><code>=SUMXMY2(array_x, array_y)<\/code><\/pre>\n<ul>\n<li><code>array_x<\/code>: Represents the first array or range of values.<\/li>\n<li><code>array_y<\/code>: Denotes the second array or range of values.<\/li>\n<\/ul>\n<h2>Example Tasks<\/h2>\n<p>Below are practical applications where the SUMXMY2 function proves invaluable:<\/p>\n<h2>Calculating Residual Sum of Squares (RSS)<\/h2>\n<p>A typical use of the SUMXMY2 function is in calculating the Residual Sum of Squares (RSS) in regression analysis. This calculation helps assess the fit of a model by comparing observed values against predicted values.<\/p>\n<p>Consider the following data in Excel:<\/p>\n<table>\n<tr>\n<th>Observed Values<\/th>\n<th>Predicted Values<\/th>\n<\/tr>\n<tr>\n<td>10<\/td>\n<td>12<\/td>\n<\/tr>\n<tr>\n<td>15<\/td>\n<td>14<\/td>\n<\/tr>\n<tr>\n<td>20<\/td>\n<td>18<\/td>\n<\/tr>\n<\/table>\n<p>To compute the RSS, apply the formula:<\/p>\n<pre><code>=SUMXMY2(A2:A4, B2:B4)<\/code><\/pre>\n<p>Excel will return the sum of the squares of the differences between the observed and predicted values, providing insight into the model&#8217;s accuracy.<\/p>\n<h2>Measuring Variability<\/h2>\n<p>The SUMXMY2 function is also effective for measuring variability between two data sets by calculating the sum of squared differences. This quantifies the disparity in values between sets.<\/p>\n<p>For instance, consider comparing these two data sets in Google Sheets:<\/p>\n<table>\n<tr>\n<th>Data Set 1<\/th>\n<th>Data Set 2<\/th>\n<\/tr>\n<tr>\n<td>5<\/td>\n<td>3<\/td>\n<\/tr>\n<tr>\n<td>10<\/td>\n<td>12<\/td>\n<\/tr>\n<tr>\n<td>15<\/td>\n<td>14<\/td>\n<\/tr>\n<\/table>\n<p>Utilize the SUMXMY2 function with the following command:<\/p>\n<pre><code>=SUMXMY2(A2:A4, B2:B4)<\/code><\/pre>\n<p>This computes a numerical value representing the overall variability between the two data sets.<\/p>\n<p>In conclusion, the SUMXMY2 function offers a versatile approach for various calculations involving squared differences between paired values in arrays or ranges.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Returns the sum of squares of differences of corresponding values in two arrays<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[198],"tags":[],"class_list":["post-439","post","type-post","status-publish","format-standard","hentry","category-math-and-trigonometry"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v23.8 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Excel SUMXMY2 Function \u2013 How It Works, Formula Examples and Syntax<\/title>\n<meta name=\"description\" content=\"Learn what the Excel SUMXMY2 function does. 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