{"id":6599,"date":"2023-05-24T15:36:31","date_gmt":"2023-05-24T15:36:31","guid":{"rendered":"https:\/\/www.bizinfograph.com\/resource\/?p=6599"},"modified":"2024-01-22T20:04:36","modified_gmt":"2024-01-22T20:04:36","slug":"how-to-use-a-linear-regression-analysis-in-excel","status":"publish","type":"post","link":"https:\/\/www.bizinfograph.com\/resource\/how-to-use-a-linear-regression-analysis-in-excel\/","title":{"rendered":"How to use a Linear Regression Analysis in Excel?"},"content":{"rendered":"<p>A statistical method called linear regression can be used to find and measure the relationship between variables. Microsoft Excel provides an easy platform to perform linear regression analysis using built-in functions. In this tutorial, we will guide you through the process of performing linear regression analysis in Excel, covering the basics of setting up data, using Excel&#8217;s regression tool and interpreting the results . Whether you&#8217;re a student or a professional, this tutorial will provide you with the necessary skills to perform linear regression analysis in Excel.<\/p>\n<p><strong>This Tutorial Covers:<\/strong><\/p>\n<ol>\n<li><a href=\"#what-is-excel-linear-regression\"><strong>What is Excel Linear Regression<\/strong><\/a><\/li>\n<li><a href=\"#how-to-include-a-data-analysis-tool-for-linear-regression-in-excel\"><strong>How to Include a Data Analysis Tool for Linear Regression in Excel<\/strong><\/a><\/li>\n<li><a href=\"#run-regression-analysis\"><strong>Run Regression Analysis<\/strong><\/a><\/li>\n<li><a href=\"#interpret-regression-analysis-output\"><strong>Interpret Regression Analysis Output<\/strong><\/a>\n<ul>\n<li><strong>Summary Output<\/strong><\/li>\n<li><strong>ANOVA<\/strong><\/li>\n<li><strong>Coefficients<\/strong><\/li>\n<li><strong>RESIDUAL OUTPUT<\/strong><\/li>\n<\/ul>\n<\/li>\n<li><a href=\"#regression-graph-in-excel\"><strong>Regression Graph In Excel<\/strong><\/a><\/li>\n<\/ol>\n<h2><strong id=\"what-is-excel-linear-regression\">1. What is Excel Linear Regression?<\/strong><\/h2>\n<p>An Excel statistical tool called linear regression is used to examine the relationship between two sets of data or variables as part of a predictive analysis model. Using this analysis, we can estimate the link between two or more variables. As an illustration, consider two independent and dependent variables.<\/p>\n<ul>\n<li>The variable we are attempting to estimate is the dependent variable.<\/li>\n<li>The element affecting the dependent variable is known as the independent variable.<\/li>\n<\/ul>\n<p>Therefore, by utilizing Excel linear regression, we can determine which variable has a true mathematical impact by seeing how the dependent variable changes as the independent variable changes.<\/p>\n<h2><strong id=\"how-to-include-a-data-analysis-tool-for-linear-regression-in-excel\">2. How to Include a Data Analysis Tool for Linear Regression in Excel?<\/strong><\/h2>\n<p>Excel has a hidden tool called \u201cAnalysis Toolpak\u201d that includes a linear regression function. This is accessible via the &#8220;Data&#8221; tab.<\/p>\n<p><strong>Until the user turns on this feature, this tool is hidden. Take the actions listed below to enable this:<\/strong><\/p>\n<p><strong>\/How to add Excel Linear Regression is shown below:<\/strong><\/p>\n<p><strong>Step 1:<\/strong> choose &#8220;Options&#8221; from the &#8220;File&#8221; menu.<\/p>\n<p><img decoding=\"async\" class=\"aligncenter size-full wp-image-6600\" src=\"https:\/\/www.bizinfograph.com\/resource\/wp-content\/uploads\/2023\/05\/Linear-Regression-Analysis-1.png\" alt=\"Linear Regression Analysis\" width=\"139\" height=\"169\" \/><\/p>\n<p><strong>Step 2:<\/strong> Next, select &#8220;Add-ins&#8221; from the list of &#8220;Excel Options.&#8221; In Excel, choose &#8220;Excel Add-ins&#8221; from the &#8220;Manage&#8221; menu list, then click &#8220;Go.&#8221;<\/p>\n<p><img fetchpriority=\"high\" decoding=\"async\" class=\"aligncenter size-full wp-image-6601\" src=\"https:\/\/www.bizinfograph.com\/resource\/wp-content\/uploads\/2023\/05\/Linear-Regression-Analysis-2.png\" alt=\"Linear Regression Analysis\" width=\"514\" height=\"420\" srcset=\"https:\/\/www.bizinfograph.com\/resource\/wp-content\/uploads\/2023\/05\/Linear-Regression-Analysis-2.png 514w, https:\/\/www.bizinfograph.com\/resource\/wp-content\/uploads\/2023\/05\/Linear-Regression-Analysis-2-300x245.png 300w\" sizes=\"(max-width: 514px) 100vw, 514px\" \/><\/p>\n<p><strong>Step 3:<\/strong> In the &#8220;Add-Ins&#8221; dialog window, choose the &#8220;Analysis ToolPak&#8221; checkbox. then press OK.<\/p>\n<p><img decoding=\"async\" class=\"aligncenter size-full wp-image-6602\" src=\"https:\/\/www.bizinfograph.com\/resource\/wp-content\/uploads\/2023\/05\/Linear-Regression-Analysis-3.png\" alt=\"Linear Regression Analysis\" width=\"248\" height=\"286\" \/><\/p>\n<p>Now, the &#8220;Data Analysis&#8221; option should be visible under the &#8220;Data&#8221; tab. We have numerous &#8220;Data Analysis&#8221; options available to us with this option.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-6603\" src=\"https:\/\/www.bizinfograph.com\/resource\/wp-content\/uploads\/2023\/05\/Linear-Regression-Analysis-4.png\" alt=\"Linear Regression Analysis\" width=\"638\" height=\"78\" srcset=\"https:\/\/www.bizinfograph.com\/resource\/wp-content\/uploads\/2023\/05\/Linear-Regression-Analysis-4.png 638w, https:\/\/www.bizinfograph.com\/resource\/wp-content\/uploads\/2023\/05\/Linear-Regression-Analysis-4-300x37.png 300w\" sizes=\"(max-width: 638px) 100vw, 638px\" \/><\/p>\n<h2><strong id=\"run-regression-analysis\">3. Run Regression Analysis<\/strong><\/h2>\n<p>Suppose a manufacturing company wants to determine the relationship between the temperature of a machine and its productivity. They can collect data on the temperature of the machine, the corresponding productivity levels, and the time of day the data was collected, and create a table like the one below:<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-6604\" src=\"https:\/\/www.bizinfograph.com\/resource\/wp-content\/uploads\/2023\/05\/Linear-Regression-Analysis-5.png\" alt=\"Linear Regression Analysis\" width=\"460\" height=\"200\" srcset=\"https:\/\/www.bizinfograph.com\/resource\/wp-content\/uploads\/2023\/05\/Linear-Regression-Analysis-5.png 460w, https:\/\/www.bizinfograph.com\/resource\/wp-content\/uploads\/2023\/05\/Linear-Regression-Analysis-5-300x130.png 300w\" sizes=\"(max-width: 460px) 100vw, 460px\" \/><\/p>\n<p><strong>The steps to run regression analysis are described below:<\/strong><\/p>\n<p><strong>Step 1:<\/strong> Go to the \u201cData\u201d tab. Then under \u201cAnalysis\u201d group, click \u201cData Analysis\u201d.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-6605\" src=\"https:\/\/www.bizinfograph.com\/resource\/wp-content\/uploads\/2023\/05\/Linear-Regression-Analysis-6.png\" alt=\"Linear Regression Analysis\" width=\"638\" height=\"74\" srcset=\"https:\/\/www.bizinfograph.com\/resource\/wp-content\/uploads\/2023\/05\/Linear-Regression-Analysis-6.png 638w, https:\/\/www.bizinfograph.com\/resource\/wp-content\/uploads\/2023\/05\/Linear-Regression-Analysis-6-300x35.png 300w\" sizes=\"(max-width: 638px) 100vw, 638px\" \/><\/p>\n<p><strong>Step 2:<\/strong> Click on Regression, then OK.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-6606\" src=\"https:\/\/www.bizinfograph.com\/resource\/wp-content\/uploads\/2023\/05\/Linear-Regression-Analysis-7.png\" alt=\"Linear Regression Analysis\" width=\"336\" height=\"173\" srcset=\"https:\/\/www.bizinfograph.com\/resource\/wp-content\/uploads\/2023\/05\/Linear-Regression-Analysis-7.png 336w, https:\/\/www.bizinfograph.com\/resource\/wp-content\/uploads\/2023\/05\/Linear-Regression-Analysis-7-300x154.png 300w\" sizes=\"(max-width: 336px) 100vw, 336px\" \/><\/p>\n<p><strong>Step 3:<\/strong> A new argument window will appear. Select the Input Y Range as the productivity and Input X Range as the temperature (in Celsius).\u00a0 Check \u201cLabels\u201d and \u201cResiduals\u201d Click OK after determining the output range, in this example output range is in cell A10.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-6607\" src=\"https:\/\/www.bizinfograph.com\/resource\/wp-content\/uploads\/2023\/05\/Linear-Regression-Analysis-8.png\" alt=\"Linear Regression Analysis\" width=\"360\" height=\"306\" srcset=\"https:\/\/www.bizinfograph.com\/resource\/wp-content\/uploads\/2023\/05\/Linear-Regression-Analysis-8.png 360w, https:\/\/www.bizinfograph.com\/resource\/wp-content\/uploads\/2023\/05\/Linear-Regression-Analysis-8-300x255.png 300w\" sizes=\"(max-width: 360px) 100vw, 360px\" \/><\/p>\n<p>The output will be as follows:<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-6608\" src=\"https:\/\/www.bizinfograph.com\/resource\/wp-content\/uploads\/2023\/05\/Linear-Regression-Analysis-9.png\" alt=\"Linear Regression Analysis\" width=\"640\" height=\"439\" srcset=\"https:\/\/www.bizinfograph.com\/resource\/wp-content\/uploads\/2023\/05\/Linear-Regression-Analysis-9.png 640w, https:\/\/www.bizinfograph.com\/resource\/wp-content\/uploads\/2023\/05\/Linear-Regression-Analysis-9-300x206.png 300w\" sizes=\"(max-width: 640px) 100vw, 640px\" \/><\/p>\n<h2><strong id=\"interpret-regression-analysis-output\">4. Interpret Regression Analysis Output<\/strong><\/h2>\n<p>Let&#8217;s now clarify what each of the phrases in the output means. In order to better understand the result, we will divide it into four main sections.<\/p>\n<ul>\n<li><strong>Summary Output:<\/strong><\/li>\n<\/ul>\n<p>Your data source&#8217;s linear regression equation&#8217;s ability to fit it is indicated in the summary result.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-6609\" src=\"https:\/\/www.bizinfograph.com\/resource\/wp-content\/uploads\/2023\/05\/Linear-Regression-Analysis-10.png\" alt=\"Linear Regression Analysis\" width=\"353\" height=\"207\" srcset=\"https:\/\/www.bizinfograph.com\/resource\/wp-content\/uploads\/2023\/05\/Linear-Regression-Analysis-10.png 353w, https:\/\/www.bizinfograph.com\/resource\/wp-content\/uploads\/2023\/05\/Linear-Regression-Analysis-10-300x176.png 300w\" sizes=\"(max-width: 353px) 100vw, 353px\" \/><\/p>\n<p>The multiple R, also referred to as the correlation coefficient, measures how linearly connected two variables are.<\/p>\n<p>The link is stronger the higher the absolute value.<\/p>\n<ul>\n<li>1 indicates a highly favorable association.<\/li>\n<li>-1 denotes a very adverse association.<\/li>\n<li>0 indicates that there is no link at all.<\/li>\n<\/ul>\n<p>The Coefficient of Determination, or R Square, denotes the goodness of fit. The number of points that fall on the regression line is indicated.<\/p>\n<p>R square in our example is 1, which represents a very good fit. In other words, the independent variables&#8217; (x-values) explanation of the dependent variables&#8217; (y-values) is a perfect one.<\/p>\n<p>The modified R square known as adjusted R square adjusts for factors that are not important to the regression model.<\/p>\n<p>Another indicator of the accuracy of your regression analysis is standard error, which is a measure of goodness-of-fit.<\/p>\n<ul>\n<li><strong>ANOVA:<\/strong><\/li>\n<\/ul>\n<p>Analysis of Variance is referred to as ANOVA. It provides details regarding the degrees of variability present in your regression model.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-6610\" src=\"https:\/\/www.bizinfograph.com\/resource\/wp-content\/uploads\/2023\/05\/Linear-Regression-Analysis-11.png\" alt=\"Linear Regression Analysis\" width=\"640\" height=\"157\" srcset=\"https:\/\/www.bizinfograph.com\/resource\/wp-content\/uploads\/2023\/05\/Linear-Regression-Analysis-11.png 640w, https:\/\/www.bizinfograph.com\/resource\/wp-content\/uploads\/2023\/05\/Linear-Regression-Analysis-11-300x74.png 300w\" sizes=\"(max-width: 640px) 100vw, 640px\" \/><\/p>\n<ul>\n<li>Df represents the total number of degrees of freedom related to the sources of variance.<\/li>\n<li>SS stands for square sum. The better your model fits the data, the smaller the Residual SS in comparison to the Total SS.<\/li>\n<li>MS stands for mean square.<\/li>\n<li>F is the null hypothesis&#8217;s F statistic or F-test. It can be used to test the overall model significance quite successfully.<\/li>\n<li>Significance F is the P-value of F.<\/li>\n<\/ul>\n<p>Examine Significance F (3.51E-48). You&#8217;re fine if this number is less than 0.05. It&#8217;s usually best to discontinue using this set of independent variables if Significance F is higher than 0.05. Rerun the regression until Significance F falls below 0.05 and then remove any variables with a high P-value (higher than 0.05).<\/p>\n<p>P-values should generally or universally be less than 0.05. This is the situation in our scenario.<\/p>\n<ul>\n<li><strong>Coefficients:<\/strong><\/li>\n<\/ul>\n<p>This section offers detailed information on the elements of your analysis:<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-6611\" src=\"https:\/\/www.bizinfograph.com\/resource\/wp-content\/uploads\/2023\/05\/Linear-Regression-Analysis-12.png\" alt=\"Linear Regression Analysis\" width=\"643\" height=\"78\" srcset=\"https:\/\/www.bizinfograph.com\/resource\/wp-content\/uploads\/2023\/05\/Linear-Regression-Analysis-12.png 643w, https:\/\/www.bizinfograph.com\/resource\/wp-content\/uploads\/2023\/05\/Linear-Regression-Analysis-12-300x36.png 300w\" sizes=\"(max-width: 643px) 100vw, 643px\" \/><\/p>\n<p>The regression line is: y = Productivity = 10*Temperature. In other words, for each unit increase in temperature, productivity increases with 10 units.<\/p>\n<ul>\n<li><strong>RESIDUAL OUTPUT:<\/strong><\/li>\n<\/ul>\n<p>The residuals display the deviation between the actual and anticipated data points (using the equation). For instance, the first data point has a value of 200. The expected data point, according to the equation, is 20*10 = 200, while the residual is 200-200=0.<\/p>\n<p>The actual and predicted data are concise and accurate.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-6612\" src=\"https:\/\/www.bizinfograph.com\/resource\/wp-content\/uploads\/2023\/05\/Linear-Regression-Analysis-13.png\" alt=\"Linear Regression Analysis\" width=\"460\" height=\"231\" srcset=\"https:\/\/www.bizinfograph.com\/resource\/wp-content\/uploads\/2023\/05\/Linear-Regression-Analysis-13.png 460w, https:\/\/www.bizinfograph.com\/resource\/wp-content\/uploads\/2023\/05\/Linear-Regression-Analysis-13-300x151.png 300w\" sizes=\"(max-width: 460px) 100vw, 460px\" \/><\/p>\n<h2><strong id=\"regression-graph-in-excel\">5. Regression Graph In Excel<\/strong><\/h2>\n<p>Create a linear regression chart if you need to rapidly see the relationship between the two variables. That&#8217;s so simple!<\/p>\n<p><strong>The steps to create a linear regression chart in Excel are described below:<\/strong><\/p>\n<p><strong>Step 1:<\/strong> Choose the two columns that include all of your data, including headers.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-6613\" src=\"https:\/\/www.bizinfograph.com\/resource\/wp-content\/uploads\/2023\/05\/Linear-Regression-Analysis-14.png\" alt=\"Linear Regression Analysis\" width=\"464\" height=\"167\" srcset=\"https:\/\/www.bizinfograph.com\/resource\/wp-content\/uploads\/2023\/05\/Linear-Regression-Analysis-14.png 464w, https:\/\/www.bizinfograph.com\/resource\/wp-content\/uploads\/2023\/05\/Linear-Regression-Analysis-14-300x108.png 300w\" sizes=\"(max-width: 464px) 100vw, 464px\" \/><\/p>\n<p>&nbsp;<\/p>\n<p><strong>Step 2:<\/strong> Click the &#8220;Scatter chart&#8221;\u00a0icon in the &#8220;Charts&#8221;\u00a0group on the &#8220;Insert&#8221;\u00a0tab, and choose the Scatter thumbnail (the first one), as shown:<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-6614\" src=\"https:\/\/www.bizinfograph.com\/resource\/wp-content\/uploads\/2023\/05\/Linear-Regression-Analysis-15.png\" alt=\"Linear Regression Analysis\" width=\"577\" height=\"309\" srcset=\"https:\/\/www.bizinfograph.com\/resource\/wp-content\/uploads\/2023\/05\/Linear-Regression-Analysis-15.png 577w, https:\/\/www.bizinfograph.com\/resource\/wp-content\/uploads\/2023\/05\/Linear-Regression-Analysis-15-300x161.png 300w\" sizes=\"(max-width: 577px) 100vw, 577px\" \/><\/p>\n<p>&nbsp;<\/p>\n<p>Your worksheet will now contain a scatter plot similar to this one.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-6615\" src=\"https:\/\/www.bizinfograph.com\/resource\/wp-content\/uploads\/2023\/05\/Linear-Regression-Analysis-16.png\" alt=\"Linear Regression Analysis\" width=\"643\" height=\"273\" srcset=\"https:\/\/www.bizinfograph.com\/resource\/wp-content\/uploads\/2023\/05\/Linear-Regression-Analysis-16.png 643w, https:\/\/www.bizinfograph.com\/resource\/wp-content\/uploads\/2023\/05\/Linear-Regression-Analysis-16-300x127.png 300w\" sizes=\"(max-width: 643px) 100vw, 643px\" \/><\/p>\n<p>&nbsp;<\/p>\n<p><strong>Step 3:<\/strong> The least squares regression line must now be drawn. Right-click any point and select &#8220;Add Trendline&#8230;&#8221; from the context menu to complete the task.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-6616\" src=\"https:\/\/www.bizinfograph.com\/resource\/wp-content\/uploads\/2023\/05\/Linear-Regression-Analysis-17.png\" alt=\"Linear Regression Analysis\" width=\"476\" height=\"364\" srcset=\"https:\/\/www.bizinfograph.com\/resource\/wp-content\/uploads\/2023\/05\/Linear-Regression-Analysis-17.png 476w, https:\/\/www.bizinfograph.com\/resource\/wp-content\/uploads\/2023\/05\/Linear-Regression-Analysis-17-300x229.png 300w\" sizes=\"(max-width: 476px) 100vw, 476px\" \/><\/p>\n<p><strong>Step 4:<\/strong> To obtain your regression formula, choose the \u201cLinear\u201d trendline shape in the right pane and, if desired, tick the box next to \u201cDisplay Equation on Chart\u201d:<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-6617\" src=\"https:\/\/www.bizinfograph.com\/resource\/wp-content\/uploads\/2023\/05\/Linear-Regression-Analysis-18.png\" alt=\"Linear Regression Analysis\" width=\"206\" height=\"429\" srcset=\"https:\/\/www.bizinfograph.com\/resource\/wp-content\/uploads\/2023\/05\/Linear-Regression-Analysis-18.png 206w, https:\/\/www.bizinfograph.com\/resource\/wp-content\/uploads\/2023\/05\/Linear-Regression-Analysis-18-144x300.png 144w\" sizes=\"(max-width: 206px) 100vw, 206px\" \/><\/p>\n<p>As you may have noticed, the linear regression formula we developed using the Coefficients output and the regression equation Excel generated for us are the exactly the same.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-6618\" src=\"https:\/\/www.bizinfograph.com\/resource\/wp-content\/uploads\/2023\/05\/Linear-Regression-Analysis-19.png\" alt=\"Linear Regression Analysis\" width=\"411\" height=\"256\" srcset=\"https:\/\/www.bizinfograph.com\/resource\/wp-content\/uploads\/2023\/05\/Linear-Regression-Analysis-19.png 411w, https:\/\/www.bizinfograph.com\/resource\/wp-content\/uploads\/2023\/05\/Linear-Regression-Analysis-19-300x187.png 300w\" sizes=\"(max-width: 411px) 100vw, 411px\" \/><\/p>\n<p><strong>Step 5:<\/strong> Make your desired changes to the line by selecting the &#8220;Fill &amp; Line&#8221; tab.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-6619\" src=\"https:\/\/www.bizinfograph.com\/resource\/wp-content\/uploads\/2023\/05\/Linear-Regression-Analysis-20.png\" alt=\"Linear Regression Analysis\" width=\"214\" height=\"433\" srcset=\"https:\/\/www.bizinfograph.com\/resource\/wp-content\/uploads\/2023\/05\/Linear-Regression-Analysis-20.png 214w, https:\/\/www.bizinfograph.com\/resource\/wp-content\/uploads\/2023\/05\/Linear-Regression-Analysis-20-148x300.png 148w\" sizes=\"(max-width: 214px) 100vw, 214px\" \/><\/p>\n<p>Your graph currently approaches an excellent regression graph:<\/p>\n<figure id=\"attachment_6620\" aria-describedby=\"caption-attachment-6620\" style=\"width: 488px\" class=\"wp-caption aligncenter\"><img loading=\"lazy\" decoding=\"async\" class=\"wp-image-6620 size-full\" src=\"https:\/\/www.bizinfograph.com\/resource\/wp-content\/uploads\/2023\/05\/Linear-Regression-Analysis-21.png\" alt=\"Linear Regression Analysis\" width=\"488\" height=\"296\" srcset=\"https:\/\/www.bizinfograph.com\/resource\/wp-content\/uploads\/2023\/05\/Linear-Regression-Analysis-21.png 488w, https:\/\/www.bizinfograph.com\/resource\/wp-content\/uploads\/2023\/05\/Linear-Regression-Analysis-21-300x182.png 300w\" sizes=\"(max-width: 488px) 100vw, 488px\" \/><figcaption id=\"caption-attachment-6620\" class=\"wp-caption-text\">Linear Regression Analysis<\/figcaption><\/figure>\n<p><strong>For ready-to-use Dashboard Templates:<\/strong><\/p>\n<ol>\n<li><a href=\"https:\/\/www.bizinfograph.com\/dashboard-templates#Finance\" target=\"_blank\" rel=\"noopener\">Financial Dashboards<\/a><\/li>\n<li><a href=\"https:\/\/www.bizinfograph.com\/dashboard-templates#Sales\" target=\"_blank\" rel=\"noopener\">Sales Dashboards<\/a><\/li>\n<li><a href=\"https:\/\/www.bizinfograph.com\/dashboard-templates#Human-Resource\" target=\"_blank\" rel=\"noopener\">HR Dashboards<\/a><\/li>\n<li><a href=\"https:\/\/www.executiveknowledge.org\/dashboard-templates\/35\" target=\"_blank\" rel=\"noopener\">Data Visualization Charts<\/a><\/li>\n<\/ol>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>A statistical method called linear regression can be used to find and measure the relationship between variables. Microsoft Excel provides an easy platform to perform linear regression analysis using built-in functions. In this tutorial, we will guide you through the process of performing linear regression analysis in Excel, covering the basics of setting up data, &hellip;<\/p>\n<p class=\"read-more\"> <a class=\"\" href=\"https:\/\/www.bizinfograph.com\/resource\/how-to-use-a-linear-regression-analysis-in-excel\/\"> <span class=\"screen-reader-text\">How to use a Linear Regression Analysis in Excel?<\/span> Read More &raquo;<\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"site-sidebar-layout":"default","site-content-layout":"default","ast-global-header-display":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","theme-transparent-header-meta":"default","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","footnotes":""},"categories":[741],"tags":[743,742],"class_list":["post-6599","post","type-post","status-publish","format-standard","hentry","category-linear-regression-analysis","tag-linear-regression-analysis","tag-linear-regression-analysis-in-excel"],"_links":{"self":[{"href":"https:\/\/www.bizinfograph.com\/resource\/wp-json\/wp\/v2\/posts\/6599","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.bizinfograph.com\/resource\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.bizinfograph.com\/resource\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.bizinfograph.com\/resource\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.bizinfograph.com\/resource\/wp-json\/wp\/v2\/comments?post=6599"}],"version-history":[{"count":4,"href":"https:\/\/www.bizinfograph.com\/resource\/wp-json\/wp\/v2\/posts\/6599\/revisions"}],"predecessor-version":[{"id":8220,"href":"https:\/\/www.bizinfograph.com\/resource\/wp-json\/wp\/v2\/posts\/6599\/revisions\/8220"}],"wp:attachment":[{"href":"https:\/\/www.bizinfograph.com\/resource\/wp-json\/wp\/v2\/media?parent=6599"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.bizinfograph.com\/resource\/wp-json\/wp\/v2\/categories?post=6599"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.bizinfograph.com\/resource\/wp-json\/wp\/v2\/tags?post=6599"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}