[amp_mcq option1=”Since the there is a relationship means our model is not good” option2=”Since the there is a relationship means our model is good” option3=”Can’t say” option4=”None of these” correct=”option3″]<\/p>\n
The correct answer is: C. Can’t say.<\/p>\n
A relationship between the residuals and predicted values does not necessarily mean that the model is good or bad. It could be that the model is capturing the relationship between the variables well, but there is still some random error in the data. Alternatively, it could be that the model is not capturing the relationship between the variables well, and the relationship between the residuals and predicted values is due to overfitting or other problems.<\/p>\n
To determine whether the model is good or bad, we need to look at other evidence, such as the coefficient of determination, the p-values of the coefficients, and the distribution of the residuals.<\/p>\n
Here is a brief explanation of each option:<\/p>\n
[amp_mcq option1=”Since the there is a relationship means our model is not good” option2=”Since the there is a relationship means our model is good” option3=”Can’t say” option4=”None of these” correct=”option3″]<\/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-54055","post","type-post","status-publish","format-standard","hentry","category-machine-learning","no-featured-image-padding"],"yoast_head":"\n