{"id":55016,"date":"2024-04-16T00:20:12","date_gmt":"2024-04-16T00:20:12","guid":{"rendered":"https:\/\/exam.pscnotes.com\/mcq\/?p=55016"},"modified":"2024-04-16T00:20:12","modified_gmt":"2024-04-16T00:20:12","slug":"point-out-the-wrong-statement-46","status":"publish","type":"post","link":"https:\/\/exam.pscnotes.com\/mcq\/point-out-the-wrong-statement-46\/","title":{"rendered":"Point out the wrong statement."},"content":{"rendered":"<p>[amp_mcq option1=&#8221;Simple linear regression is equipped to handle more than one predictor&#8221; option2=&#8221;Compound linear regression is not equipped to handle more than one predictor&#8221; option3=&#8221;Linear regression consists of finding the best-fitting straight line through the points&#8221; option4=&#8221;All of the mentioned&#8221; correct=&#8221;option2&#8243;]<!--more--><\/p>\n<p>The correct answer is: <strong>B. Compound linear regression is not equipped to handle more than one predictor<\/strong>.<\/p>\n<p>Simple linear regression is a statistical method that analyzes the relationship between two variables. It is used to predict the value of one variable (the dependent variable) based on the value of another variable (the independent variable).<\/p>\n<p>Compound linear regression is a statistical method that analyzes the relationship between two or more variables. It is used to predict the value of one variable (the dependent variable) based on the values of two or more variables (the independent variables).<\/p>\n<p>Linear regression consists of finding the best-fitting straight line through the points. The best-fitting line is the line that minimizes the sum of the squared distances between the points and the line.<\/p>\n<p>Therefore, compound linear regression is equipped to handle more than one predictor, while simple linear regression is not.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>[amp_mcq option1=&#8221;Simple linear regression is equipped to handle more than one predictor&#8221; option2=&#8221;Compound linear regression is not equipped to handle more than one predictor&#8221; option3=&#8221;Linear regression consists of finding the best-fitting straight line through the points&#8221; option4=&#8221;All of the mentioned&#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":[734],"tags":[],"class_list":["post-55016","post","type-post","status-publish","format-standard","hentry","category-introduction-to-data-science","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>Point out the wrong statement.<\/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\/point-out-the-wrong-statement-46\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Point out the wrong statement.\" \/>\n<meta property=\"og:description\" content=\"[amp_mcq option1=&#8221;Simple linear regression is equipped to handle more than one predictor&#8221; 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