{"id":33833,"date":"2024-04-15T09:22:19","date_gmt":"2024-04-15T09:22:19","guid":{"rendered":"https:\/\/exam.pscnotes.com\/mcq\/?p=33833"},"modified":"2024-04-15T09:22:19","modified_gmt":"2024-04-15T09:22:19","slug":"the-value-we-would-predict-for-the-dependent-variable-when-the-independent-variables-are-all-equal-to-zero-is-called","status":"publish","type":"post","link":"https:\/\/exam.pscnotes.com\/mcq\/the-value-we-would-predict-for-the-dependent-variable-when-the-independent-variables-are-all-equal-to-zero-is-called\/","title":{"rendered":"The value we would predict for the dependent variable when the independent variables are all equal to zero is called:"},"content":{"rendered":"<p>[amp_mcq option1=&#8221;Slope&#8221; option2=&#8221;Sum of residual&#8221; option3=&#8221;Intercept&#8221; option4=&#8221;Difficult to tell&#8221; correct=&#8221;option3&#8243;]<!--more--><\/p>\n<p>The correct answer is C. Intercept.<\/p>\n<p>The intercept is the value of the dependent variable when all the independent variables are zero. It is the point where the line of best fit crosses the y-axis.<\/p>\n<p>The slope is the change in the dependent variable for every unit change in the independent variable. It is the ratio of the change in the dependent variable to the change in the independent variable.<\/p>\n<p>The sum of residual is the sum of the squared differences between the actual values of the dependent variable and the predicted values of the dependent variable. It is a measure of the error in the model.<\/p>\n<p>It is difficult to tell the answer without knowing the context of the question. However, if the question is about linear regression, then the answer is C. Intercept.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>[amp_mcq option1=&#8221;Slope&#8221; option2=&#8221;Sum of residual&#8221; option3=&#8221;Intercept&#8221; option4=&#8221;Difficult to tell&#8221; correct=&#8221;option3&#8243;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[701],"tags":[],"class_list":["post-33833","post","type-post","status-publish","format-standard","hentry","category-business-statistics-and-research-methods","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 value we would predict for the dependent variable when the independent variables are all equal to zero 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\/the-value-we-would-predict-for-the-dependent-variable-when-the-independent-variables-are-all-equal-to-zero-is-called\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"The value we would predict for the dependent variable when the independent variables are all equal to zero is called:\" \/>\n<meta property=\"og:description\" content=\"[amp_mcq option1=&#8221;Slope&#8221; 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