{"id":44906,"date":"2024-04-15T21:50:27","date_gmt":"2024-04-15T21:50:27","guid":{"rendered":"https:\/\/exam.pscnotes.com\/mcq\/?p=44906"},"modified":"2024-04-15T21:50:27","modified_gmt":"2024-04-15T21:50:27","slug":"a-regression-model-in-which-more-than-one-independent-variable-is-used-to-predict-the-dependent-variable-is-called","status":"publish","type":"post","link":"https:\/\/exam.pscnotes.com\/mcq\/a-regression-model-in-which-more-than-one-independent-variable-is-used-to-predict-the-dependent-variable-is-called\/","title":{"rendered":"A regression model in which more than one independent variable is used to predict the dependent variable is called"},"content":{"rendered":"<p>[amp_mcq option1=&#8221;a simple linear regression model&#8221; option2=&#8221;a multiple regression models&#8221; option3=&#8221;an independent model&#8221; option4=&#8221;none of the above&#8221; correct=&#8221;option2&#8243;]<!--more--><\/p>\n<p>The correct answer is B. A multiple regression model is a statistical model that estimates the relationship between a dependent variable and two or more independent variables. The independent variables are also known as predictors or regressors, and the dependent variable is also known as the response variable. The goal of multiple regression is to find a linear combination of the independent variables that best predicts the dependent variable.<\/p>\n<p>A simple linear regression model is a special case of multiple regression in which there is only one independent variable. In this case, the model is called a linear regression model.<\/p>\n<p>An independent model is a statistical model in which the dependent variable is not related to any of the independent variables. This is a very rare case, and it is usually not possible to know for sure whether or not an independent model is appropriate.<\/p>\n<p>D is not the correct answer because it is not a valid option.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>[amp_mcq option1=&#8221;a simple linear regression model&#8221; option2=&#8221;a multiple regression models&#8221; option3=&#8221;an independent model&#8221; option4=&#8221;none of the above&#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-44906","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>A regression model in which more than one independent variable is used to predict the dependent variable is called<\/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\/a-regression-model-in-which-more-than-one-independent-variable-is-used-to-predict-the-dependent-variable-is-called\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"A regression model in which more than one independent variable is used to predict the dependent variable is called\" \/>\n<meta property=\"og:description\" content=\"[amp_mcq option1=&#8221;a simple linear regression model&#8221; 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