{"id":13278,"date":"2014-02-07T20:20:51","date_gmt":"2014-02-07T20:20:51","guid":{"rendered":"http:\/\/www.mometrix.com\/academy\/?page_id=13278"},"modified":"2026-03-25T15:19:34","modified_gmt":"2026-03-25T20:19:34","slug":"scatter-plots","status":"publish","type":"page","link":"https:\/\/www.mometrix.com\/academy\/scatter-plots\/","title":{"rendered":"Scatter Plot"},"content":{"rendered":"\n\t\t\t<div id=\"mmDeferVideoEncompass_Zz0xfMGnWug\" style=\"position: relative;\">\n\t\t\t<picture>\n\t\t\t\t<source srcset=\"https:\/\/www.mometrix.com\/academy\/wp-content\/uploads\/2023\/01\/circle-play-duotone.webp\" type=\"image\/webp\">\n\t\t\t\t<source srcset=\"https:\/\/www.mometrix.com\/academy\/wp-content\/uploads\/2023\/01\/circle-play-duotone.png\" type=\"image\/jpeg\"> \n\t\t\t\t<img fetchpriority=\"high\" decoding=\"async\" loading=\"eager\" id=\"videoThumbnailImage_Zz0xfMGnWug\" data-source-videoID=\"Zz0xfMGnWug\" src=\"https:\/\/www.mometrix.com\/academy\/wp-content\/uploads\/2023\/01\/circle-play-duotone.png\" alt=\"Scatter Plot Video\" height=\"464\" width=\"825\" class=\"size-full\" data-matomo-title = \"Scatter Plot\">\n\t\t\t<\/picture>\n\t\t\t<\/div>\n\t\t\t<style>img#videoThumbnailImage_Zz0xfMGnWug:hover {cursor:pointer;} img#videoThumbnailImage_Zz0xfMGnWug {background-size:contain;background-image:url(\"https:\/\/www.mometrix.com\/academy\/wp-content\/uploads\/2023\/07\/updated-scatter-plot-64a87f64046a2-1.webp\");}<\/style>\n\t\t\t<script defer>\n\t\t\t  jQuery(\"img#videoThumbnailImage_Zz0xfMGnWug\").click(function() {\n\t\t\t\tlet videoId = jQuery(this).attr(\"data-source-videoID\");\n\t\t\t\tlet helpTag = '<div id=\"mmDeferVideoYTMessage_Zz0xfMGnWug\" style=\"display: none;position: absolute;top: -24px;width: 100%;text-align: center;\"><span style=\"font-style: italic;font-size: small;border-top: 1px solid #fc0;\">Having trouble? <a href=\"https:\/\/www.youtube.com\/watch?v='+videoId+'\" target=\"_blank\">Click here to watch on YouTube.<\/a><\/span><\/div>';\n\t\t\t\tlet tag = document.createElement(\"iframe\");\n\t\t\t\ttag.id = \"yt\" + videoId;\n\t\t\t\ttag.src = \"https:\/\/www.youtube-nocookie.com\/embed\/\" + videoId + \"?autoplay=1&controls=1&wmode=opaque&rel=0&egm=0&iv_load_policy=3&hd=0&enablejsapi=1\";\n\t\t\t\ttag.frameborder = 0;\n\t\t\t\ttag.allow = \"autoplay; fullscreen\";\n\t\t\t\ttag.width = this.width;\n\t\t\t\ttag.height = this.height;\n\t\t\t\ttag.setAttribute(\"data-matomo-title\",\"Scatter Plot\");\n\t\t\t\tjQuery(\"div#mmDeferVideoEncompass_Zz0xfMGnWug\").html(tag);\n\t\t\t\tjQuery(\"div#mmDeferVideoEncompass_Zz0xfMGnWug\").prepend(helpTag);\n\t\t\t\tsetTimeout(function(){jQuery(\"div#mmDeferVideoYTMessage_Zz0xfMGnWug\").css(\"display\", \"block\");}, 2000);\n\t\t\t  });\n\t\t\t  \n\t\t\t<\/script>\n\t\t\n<p><script>\nfunction R24_Function() {\n  var x = document.getElementById(\"R24\");\n  if (x.style.display === \"none\") {\n    x.style.display = \"block\";\n  } else {\n    x.style.display = \"none\";\n  }\n}\n<\/script><\/p>\n<div class=\"moc-toc hide-on-desktop hide-on-tablet\">\n<div><button onclick=\"R24_Function()\"><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/www.mometrix.com\/academy\/wp-content\/uploads\/2024\/12\/toc2.svg\" width=\"16\" height=\"16\" alt=\"show or hide table of contents\"><\/button><\/p>\n<p>On this page<\/p>\n<\/div>\n<nav id=\"R24\" style=\"display:none;\">\n<ul>\n<li class=\"toc-h2\"><a href=\"#What_is_a_Scatter_Plot\" class=\"smooth-scroll\">What is a Scatter Plot?<\/a><\/li>\n<li class=\"toc-h2\"><a href=\"#Analyzing_Data\" class=\"smooth-scroll\">Analyzing Data<\/a><\/li>\n<li class=\"toc-h2\"><a href=\"#Line_of_Best_Fit\" class=\"smooth-scroll\">Line of Best Fit<\/a><\/li>\n<li class=\"toc-h2\"><a href=\"#Scatter_Plot_Practice_Questions\" class=\"smooth-scroll\">Scatter Plot Practice Questions<\/a><\/li>\n<\/ul>\n<\/nav>\n<\/div>\n<div class=\"accordion\"><input id=\"transcript\" type=\"checkbox\" class=\"spoiler_button\" \/><label for=\"transcript\">Transcript<\/label><input id=\"PQs\" type=\"checkbox\" class=\"spoiler_button\" \/><label for=\"PQs\">Practice<\/label>\n<div class=\"spoiler\" id=\"transcript-spoiler\">\n<p>Hey guys! Welcome to this video on scatter plots.<\/p>\n<h2><span id=\"What_is_a_Scatter_Plot\" class=\"m-toc-anchor\"><\/span>What is a Scatter Plot?<\/h2>\n<p>\nA scatter plot is a helpful tool that allows us to see the relationship between two <a class=\"ylist\" href=\"https:\/\/www.mometrix.com\/academy\/identifying-variables\/\">variables<\/a>, or to see that there is not a relationship between two variables.<\/p>\n<h2><span id=\"Analyzing_Data\" class=\"m-toc-anchor\"><\/span>Analyzing Data<\/h2>\n<p>\nLet\u2019s take a look at a few different tables of data, see how to graph each, then look at the relationship between the two sets of data.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-68735\" src=\"https:\/\/www.mometrix.com\/academy\/wp-content\/uploads\/2021\/01\/table-of-hours-studied-and-exam-scores-1.png\" alt=\"table of hours studied and exam scores\" width=\"390\" height=\"258\" \/><\/p>\n<p>So, we have our table of data here. Now, let\u2019s look at how to graph it. So, we are going to set it up exactly like we would a line graph. We need our <em>x<\/em>&#8211; and <em>y<\/em>-axis.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/www.mometrix.com\/academy\/wp-content\/uploads\/2021\/01\/x-and-y-axes.png\" alt=\"x and y axes\" width=\"390\" height=\"258\" class=\"aligncenter size-full wp-image-68720\" \/><\/p>\n<p>Then we need to fill in our <a class=\"ylist\" href=\"https:\/\/www.mometrix.com\/academy\/real-numbers-and-the-number-line\/\">number lines<\/a>. We know that time is our independent variable because time is always the independent variable, so time will go on our horizontal axis here, and exam scores will go on our <em>y<\/em>-axis.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-68729\" src=\"https:\/\/www.mometrix.com\/academy\/wp-content\/uploads\/2021\/01\/labeled-axes.png\" alt=\"labeled axes\" width=\"390\" height=\"258\" \/><\/p>\n<p>Now, that we have our numbers on each axis, we can begin to plot our points. So, plotting points works the same as it would when plotting a line graph. We find our first number of data points that lies on the \\(x\\)-axis and go up the corresponding amount on the \\(y\\)-axis. So, for our first point we have \\((3, 67)\\). Then we do the same thing for each of our other points. <\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-68708\" src=\"https:\/\/www.mometrix.com\/academy\/wp-content\/uploads\/2021\/01\/scatterplot-points-labeled.png\" alt=\"scatterplot points labeled\" width=\"390\" height=\"258\" \/> <\/p>\n<p>Great! Now that we have all of our points plotted, we are able to take a look at the relationship between the points. We can see that, overall, as the hours of study time increase, the exam scores also increase. There are a few <strong>outliers<\/strong>, like our 3.5 right here and then our 4.5; but over all, we can see that as one variable increases, the other variable also increases. When both variables are increasing, this is said to be a <em>positive relationship<\/em>.<\/p>\n<h2><span id=\"Line_of_Best_Fit\" class=\"m-toc-anchor\"><\/span>Line of Best Fit<\/h2>\n<p>\nAnother way to see what type of relationship we have among our data points is by drawing what we call, a <strong>line of best fit<\/strong>. When drawing a line of best fit, you need to draw a line that represents the general, or average, trend between the data points. <\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-68705\" src=\"https:\/\/www.mometrix.com\/academy\/wp-content\/uploads\/2021\/01\/line-of-best-fit.png\" alt=\"line of best fit\" width=\"390\" height=\"258\" \/> <\/p>\n<p>So, you can see that this line has a positive slope because it&#8217;s going upwards, which means that it has a positive relationship.<\/p>\n<p>Now, let\u2019s take the same table, and change up our exam scores a little bit.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-68732\" src=\"https:\/\/www.mometrix.com\/academy\/wp-content\/uploads\/2021\/01\/table-of-hours-studied-and-exam-scores-part-2-1.png\" alt=\"table of hours studied and exam scores part 2\" width=\"390\" height=\"258\" \/> <\/p>\n<p>Now, let\u2019s plot our new data points.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-68723\" src=\"https:\/\/www.mometrix.com\/academy\/wp-content\/uploads\/2021\/01\/data-points-plotted-2.png\" alt=\"data points plotted 2\" width=\"390\" height=\"258\" \/> <\/p>\n<p>In this scatterplot, we can see that we have a negative relationship, overall, between our two corresponding variables. As the study time increases, our exam scores decrease. Again, another way to show this would be to draw a line of best fit to represent the average trend of data.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-68702\" src=\"https:\/\/www.mometrix.com\/academy\/wp-content\/uploads\/2021\/01\/line-of-best-fit-2.png\" alt=\"line of best fit 2\" width=\"390\" height=\"258\" \/> <\/p>\n<p>When we draw our line of best fit for this set of data, we can see that the line has a negative slope; which means that there&#8217;s a <em>negative relationship<\/em>.<\/p>\n<p>Now, let\u2019s take a look at one last example.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-large wp-image-68717\" src=\"https:\/\/www.mometrix.com\/academy\/wp-content\/uploads\/2021\/01\/tornadoes-graph-and-chart-1024x540.png\" alt=\"tornadoes graph and chart\" width=\"390\" height=\"258\" \/> <\/p>\n<p>So, we need to plot our points the same way that we plotted the last two.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-large wp-image-68726\" src=\"https:\/\/www.mometrix.com\/academy\/wp-content\/uploads\/2021\/01\/data-points-plotted-3-1024x551.png\" alt=\"data points plotted 3\" width=\"390\" height=\"258\" \/> <\/p>\n<p>We can see that in this example that there doesn\u2019t appear to be an overwhelmingly positive or negative relationship. When you have a scatter plot that doesn&#8217;t have a positive or negative relationship, it&#8217;s said to have no relationship. So, it would appear that there is <em>no correlation<\/em>, or relationship, between yearly progression and tornadoes in the US.<\/p>\n<p>I hope that this video has been helpful to you.<\/p>\n<p>See you guys next time!<\/p>\n<\/div>\n<div class=\"spoiler\" id=\"PQs-spoiler\">\n<h2 style=\"text-align:center\"><span id=\"Scatter_Plot_Practice_Questions\" class=\"m-toc-anchor\"><\/span>Scatter Plot Practice Questions<\/h2>\n\n\t\t\t\t<div class=\"PQ\">\n\t\t\t\t\t<strong>Question #1:<\/strong>\n\t\t\t\t\t<div style=\"margin-left:10px;\"><p>&nbsp;<br \/>\nAccording to the scatter plot below, is there a relationship between the hours spent practicing piano, and the number of incorrect notes played?<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\" wp-image-70814 aligncenter\" src=\"https:\/\/www.mometrix.com\/academy\/wp-content\/uploads\/2021\/03\/Scatter-plot-of-number-of-incorrect-notes-played-and-time-spent-practicing.png\" alt=\"Scatter plot of number of incorrect notes played and time spent practicing\" width=\"331\" height=\"313\" srcset=\"https:\/\/www.mometrix.com\/academy\/wp-content\/uploads\/2021\/03\/Scatter-plot-of-number-of-incorrect-notes-played-and-time-spent-practicing.png 1376w, https:\/\/www.mometrix.com\/academy\/wp-content\/uploads\/2021\/03\/Scatter-plot-of-number-of-incorrect-notes-played-and-time-spent-practicing-300x284.png 300w, https:\/\/www.mometrix.com\/academy\/wp-content\/uploads\/2021\/03\/Scatter-plot-of-number-of-incorrect-notes-played-and-time-spent-practicing-1024x968.png 1024w, https:\/\/www.mometrix.com\/academy\/wp-content\/uploads\/2021\/03\/Scatter-plot-of-number-of-incorrect-notes-played-and-time-spent-practicing-768x726.png 768w\" sizes=\"auto, (max-width: 331px) 100vw, 331px\" \/><\/p>\n<\/div>\n\t\t\t\t\t<div class=\"PQ-Choices\"><div class=\"PQ\"  id=\"PQ-1-1\">No correlation.<\/div><div class=\"PQ\"  id=\"PQ-1-2\">Yes, a positive correlation.<\/div><div class=\"PQ correct_answer\"  id=\"PQ-1-3\">Yes, a negative correlation.<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t\t<input id=\"PQ-1\" type=\"checkbox\" class=\"spoiler_button\" \/><label for=\"PQ-1\" style=\"width: 150px;\">Show Answer<\/label>\n\t\t\t\t\t<div class=\"answer\" id=\"PQ-1-spoiler\">\n\t\t\t\t\t\t<strong>Answer:<\/strong><div style=\"margin-left:10px;\"><p>If a line of best fit is drawn over the data points the slope will drop from the top left down to the bottom right. This creates a negative slope, meaning there is a negative correlation between the two variables. Incorrect notes will decrease as hours of practice increases.<\/p>\n<\/div>\n\t\t\t\t\t\t<input id=\"PQ-1-hide\" type=\"checkbox\" class=\"spoiler_button\" \/><label for=\"PQ-1-hide\" style=\"width: 150px;\">Hide Answer<\/label>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"PQ\">\n\t\t\t\t\t<strong>Question #2:<\/strong>\n\t\t\t\t\t<div style=\"margin-left:10px;\"><p>&nbsp;<br \/>\nDescribe the correlation between the independent and dependent variables in the scatter plot below.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\" wp-image-70811 aligncenter\" src=\"https:\/\/www.mometrix.com\/academy\/wp-content\/uploads\/2021\/03\/Scatter-plot-with-points-all-over-the-graph.png\" alt=\"Scatter plot with points all over the graph\" width=\"298\" height=\"289\" srcset=\"https:\/\/www.mometrix.com\/academy\/wp-content\/uploads\/2021\/03\/Scatter-plot-with-points-all-over-the-graph.png 1155w, https:\/\/www.mometrix.com\/academy\/wp-content\/uploads\/2021\/03\/Scatter-plot-with-points-all-over-the-graph-300x291.png 300w, https:\/\/www.mometrix.com\/academy\/wp-content\/uploads\/2021\/03\/Scatter-plot-with-points-all-over-the-graph-1024x995.png 1024w, https:\/\/www.mometrix.com\/academy\/wp-content\/uploads\/2021\/03\/Scatter-plot-with-points-all-over-the-graph-768x746.png 768w\" sizes=\"auto, (max-width: 298px) 100vw, 298px\" \/><\/p>\n<\/div>\n\t\t\t\t\t<div class=\"PQ-Choices\"><div class=\"PQ correct_answer\"  id=\"PQ-2-1\">No correlation<\/div><div class=\"PQ\"  id=\"PQ-2-2\">Negative correlation <\/div><div class=\"PQ\"  id=\"PQ-2-3\">Positive correlation<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t\t<input id=\"PQ-2\" type=\"checkbox\" class=\"spoiler_button\" \/><label for=\"PQ-2\" style=\"width: 150px;\">Show Answer<\/label>\n\t\t\t\t\t<div class=\"answer\" id=\"PQ-2-spoiler\">\n\t\t\t\t\t\t<strong>Answer:<\/strong><div style=\"margin-left:10px;\"><p>The data points are spread out fairly randomly on the scatter plot. There are no trends or patterns, so a line of best fit cannot be drawn. The variables have no correlation, or relationship to each other.<\/p>\n<\/div>\n\t\t\t\t\t\t<input id=\"PQ-2-hide\" type=\"checkbox\" class=\"spoiler_button\" \/><label for=\"PQ-2-hide\" style=\"width: 150px;\">Hide Answer<\/label>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"PQ\">\n\t\t\t\t\t<strong>Question #3:<\/strong>\n\t\t\t\t\t<div style=\"margin-left:10px;\"><p>&nbsp;<br \/>\nJesse is tracking the correlation between the amount of time someone studies for an exam (\\(x\\)-axis), and their score on the exam (\\(y\\)-axis). He plots the points on the scatter plot below, and he wants to draw a line of best fit. Which line would be most appropriate for the data points? <\/p>\n<\/div>\n\t\t\t\t\t<div class=\"PQ-Choices\"><div class=\"PQ\"  id=\"PQ-3-1\"><img decoding=\"async\" src=\"https:\/\/www.mometrix.com\/academy\/wp-content\/uploads\/2025\/10\/Scatter-Plot-Example-1.svg\" alt=\"Scatter plot with orange dots showing data points and a single upward-sloping line intersecting the y-axis near 10 and x-axis near 40; axes labeled x and y.\" width=\"325.6\" height=\"292.8\" class=\"alignnone size-full wp-image-274747\"  role=\"img\" \/><\/div><div class=\"PQ\"  id=\"PQ-3-2\"><img decoding=\"async\" src=\"https:\/\/www.mometrix.com\/academy\/wp-content\/uploads\/2025\/10\/Scatter-Plot-Example-2.svg\" alt=\"Scatter plot of orange dots showing a positive relationship between x and y values, with a black line illustrating a linear trend below most data points.\" width=\"325.6\" height=\"292.8\" class=\"alignnonesize-full wp-image-274750\"  role=\"img\" \/><\/div><div class=\"PQ correct_answer\"  id=\"PQ-3-3\"><img decoding=\"async\" src=\"https:\/\/www.mometrix.com\/academy\/wp-content\/uploads\/2025\/10\/Scatter-Plot-Example-3.svg\" alt=\"A scatter plot with orange dots and a line of best fit showing a strong positive linear relationship between x and y values.\" width=\"325.6\" height=\"292.8\" class=\"alignnone size-full wp-image-274753\"  role=\"img\" \/><\/div><div class=\"PQ\"  id=\"PQ-3-4\"><img decoding=\"async\" src=\"https:\/\/www.mometrix.com\/academy\/wp-content\/uploads\/2025\/10\/Scatter-Plot-Example-4.svg\" alt=\"Scatter plot with orange dots showing a positive trend; a horizontal line is drawn at y = 60. Axes are labeled x (10-100) and y (0-100).\" width=\"325.6\" height=\"292.8\" class=\"alignnone size-full wp-image-274756\"  role=\"img\" \/><\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t\t<input id=\"PQ-3\" type=\"checkbox\" class=\"spoiler_button\" \/><label for=\"PQ-3\" style=\"width: 150px;\">Show Answer<\/label>\n\t\t\t\t\t<div class=\"answer\" id=\"PQ-3-spoiler\">\n\t\t\t\t\t\t<strong>Answer:<\/strong><div style=\"margin-left:10px;\"><p>The line of best fit, or trend line, should be drawn over the data points in a way that most accurately represents the slope of the data. Graph C shows a line of best fit that closely matches the trend of the data.<\/p>\n<\/div>\n\t\t\t\t\t\t<input id=\"PQ-3-hide\" type=\"checkbox\" class=\"spoiler_button\" \/><label for=\"PQ-3-hide\" style=\"width: 150px;\">Hide Answer<\/label>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"PQ\">\n\t\t\t\t\t<strong>Question #4:<\/strong>\n\t\t\t\t\t<div style=\"margin-left:10px;\"><p>&nbsp;<br \/>\nAll of the scenarios listed below, <span style=\"text-decoration: underline;\">except for one<\/span>, have a direct correlation. Which scenario has no correlation, or relationship, between the two variables? <\/p>\n<\/div>\n\t\t\t\t\t<div class=\"PQ-Choices\"><div class=\"PQ\"  id=\"PQ-4-1\">The amount of money spent at the grocery store, compared to the number of items purchased at the grocery store. <\/div><div class=\"PQ\"  id=\"PQ-4-2\">The amount of time spent driving in a car, compared to the distance traveled in the car.<\/div><div class=\"PQ\"  id=\"PQ-4-3\">The number of hours spent studying for an exam, and the score achieved on the exam. <\/div><div class=\"PQ correct_answer\"  id=\"PQ-4-4\">The height of a person, compared to the number of fingers they have. <\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t\t<input id=\"PQ-4\" type=\"checkbox\" class=\"spoiler_button\" \/><label for=\"PQ-4\" style=\"width: 150px;\">Show Answer<\/label>\n\t\t\t\t\t<div class=\"answer\" id=\"PQ-4-spoiler\">\n\t\t\t\t\t\t<strong>Answer:<\/strong><div style=\"margin-left:10px;\"><p>In general, a person\u2019s height has no correlation to the number of fingers they have. These two variables do not have a direct relationship, and on a scatter plot no clear line or trend would be noticeable.<\/p>\n<\/div>\n\t\t\t\t\t\t<input id=\"PQ-4-hide\" type=\"checkbox\" class=\"spoiler_button\" \/><label for=\"PQ-4-hide\" style=\"width: 150px;\">Hide Answer<\/label>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"PQ\">\n\t\t\t\t\t<strong>Question #5:<\/strong>\n\t\t\t\t\t<div style=\"margin-left:10px;\"><p>&nbsp;<br \/>\nA scatter plot would be the best graphical display for which of the following scenarios? <\/p>\n<\/div>\n\t\t\t\t\t<div class=\"PQ-Choices\"><div class=\"PQ correct_answer\"  id=\"PQ-5-1\">When comparing large numbers of data points without regard to time. For example, the correlation between age and income. <\/div><div class=\"PQ\"  id=\"PQ-5-2\">When comparing percentages of a total value. For example, what percent of a budget is being spent in each category. <\/div><div class=\"PQ\"  id=\"PQ-5-3\">When comparing items within different groups, such as flavors of ice cream. <\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t\t<input id=\"PQ-5\" type=\"checkbox\" class=\"spoiler_button\" \/><label for=\"PQ-5\" style=\"width: 150px;\">Show Answer<\/label>\n\t\t\t\t\t<div class=\"answer\" id=\"PQ-5-spoiler\">\n\t\t\t\t\t\t<strong>Answer:<\/strong><div style=\"margin-left:10px;\"><p>Scatter plots can be very useful displays for identifying trend lines or correlations between two variables. Large numbers of data points can be placed on a scatter plot, so trends and relationships are generally clear to see when a line of best fit is drawn. <\/p>\n<p>Choice B describes a scenario where bar graphs would be a useful display.<br \/>\nChoice C describes a scenario where a pie chart, or circle graph, would be a useful display.<\/p>\n<\/div>\n\t\t\t\t\t\t<input id=\"PQ-5-hide\" type=\"checkbox\" class=\"spoiler_button\" \/><label for=\"PQ-5-hide\" style=\"width: 150px;\">Hide Answer<\/label>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div><\/div>\n<\/div>\n\n<div class=\"home-buttons\">\n<p><a href=\"https:\/\/www.mometrix.com\/academy\/statistics\/\">Return to Statistics Videos<\/a><\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>Return to Statistics Videos<\/p>\n","protected":false},"author":1,"featured_media":183305,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"open","template":"","meta":{"footnotes":""},"class_list":{"0":"post-13278","1":"page","2":"type-page","3":"status-publish","4":"has-post-thumbnail","6":"page_category-math-advertising-group","7":"page_category-miscellaneous-videos","8":"page_category-statistics-videos","9":"page_category-video-pages-for-study-course-sidebar-ad","10":"page_type-video","11":"content_type-practice-questions","12":"subject_matter-math"},"aioseo_notices":[],"aioseo_head":"\n\t\t<!-- All in One SEO Pro 5.0.1.1 - aioseo.com -->\n\t<meta name=\"description\" content=\"A scatter plot is a helpful tool that allows us to see the relationship (or lack of a relationship) between two variables. 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