{"id":43757,"date":"2024-04-15T21:34:00","date_gmt":"2024-04-15T21:34:00","guid":{"rendered":"https:\/\/exam.pscnotes.com\/mcq\/?p=43757"},"modified":"2024-04-15T21:34:00","modified_gmt":"2024-04-15T21:34:00","slug":"an-indication-in-a-way-that-variance-of-y-variable-is-explained-by-x-variable-which-is-shown-as","status":"publish","type":"post","link":"https:\/\/exam.pscnotes.com\/mcq\/an-indication-in-a-way-that-variance-of-y-variable-is-explained-by-x-variable-which-is-shown-as\/","title":{"rendered":"An indication in a way that variance of y-variable is explained by x-variable which is shown as"},"content":{"rendered":"

[amp_mcq option1=”degree of dispersion is one” option2=”degree of dispersion is two” option3=”degree of dispersion is three” option4=”degree of dispersion is four” correct=”option2″]<\/p>\n

The correct answer is: B. degree of dispersion is two<\/strong><\/p>\n

The degree of dispersion is a measure of how spread out the data is. A low degree of dispersion indicates that the data is clustered closely together, while a high degree of dispersion indicates that the data is spread out over a large range.<\/p>\n

In the case of the question, the variance of the y-variable is explained by the x-variable. This means that the x-variable is a good predictor of the y-variable. The higher the correlation between the x-variable and the y-variable, the more the variance of the y-variable is explained by the x-variable.<\/p>\n

A degree of dispersion of two indicates that the data is spread out over a moderate range. This is a good indication that the x-variable is a good predictor of the y-variable.<\/p>\n

The other options are incorrect because they do not indicate that the variance of the y-variable is explained by the x-variable.<\/p>\n