{"id":43053,"date":"2024-04-15T21:23:59","date_gmt":"2024-04-15T21:23:59","guid":{"rendered":"https:\/\/exam.pscnotes.com\/mcq\/?p=43053"},"modified":"2024-04-15T21:23:59","modified_gmt":"2024-04-15T21:23:59","slug":"the-difference-between-the-actual-y-value-and-the-predicted-y-value-found-using-a-regression-equation-is-called-the","status":"publish","type":"post","link":"https:\/\/exam.pscnotes.com\/mcq\/the-difference-between-the-actual-y-value-and-the-predicted-y-value-found-using-a-regression-equation-is-called-the\/","title":{"rendered":"The difference between the actual Y value and the predicted Y value found using a regression equation is called the"},"content":{"rendered":"<p>[amp_mcq option1=&#8221;slope&#8221; option2=&#8221;residual&#8221; option3=&#8221;outlier&#8221; option4=&#8221;scatter plot&#8221; correct=&#8221;option2&#8243;]<!--more--><\/p>\n<p>The correct answer is: B. residual.<\/p>\n<p>A residual is the difference between the actual value of a dependent variable and the value predicted by a regression model. Residuals are used to evaluate the fit of a regression model. A good regression model will have residuals that are randomly distributed around zero.<\/p>\n<p>The slope is the measure of the linear relationship between two variables. It is calculated by dividing the change in the dependent variable by the change in the independent variable.<\/p>\n<p>An outlier is a data point that is significantly different from the other data points. Outliers can be caused by errors in data collection or by unusual events.<\/p>\n<p>A scatter plot is a graph that shows the relationship between two variables. It is created by plotting the values of the two variables on a coordinate plane.<\/p>\n<p>I hope this helps! Let me know if you have any other questions.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>[amp_mcq option1=&#8221;slope&#8221; option2=&#8221;residual&#8221; option3=&#8221;outlier&#8221; option4=&#8221;scatter plot&#8221; correct=&#8221;option2&#8243;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[729],"tags":[],"class_list":["post-43053","post","type-post","status-publish","format-standard","hentry","category-machine-learning","no-featured-image-padding"],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v22.2 (Yoast SEO v23.3) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>The difference between the actual Y value and the predicted Y value found using a regression equation is called the<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/exam.pscnotes.com\/mcq\/the-difference-between-the-actual-y-value-and-the-predicted-y-value-found-using-a-regression-equation-is-called-the\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"The difference between the actual Y value and the predicted Y value found using a regression equation is called the\" \/>\n<meta property=\"og:description\" content=\"[amp_mcq option1=&#8221;slope&#8221; 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