[amp_mcq option1=”If R Squared increases, this variable is significant.” option2=”If R Squared decreases, this variable is not significant.” option3=”Individually R squared cannot tell about variable importance. We can’t say anything about it right now.” option4=”None of these.” correct=”option3″]<\/p>\n
The correct answer is: C. Individually R squared cannot tell about variable importance. We can’t say anything about it right now.<\/strong><\/p>\n R-squared is a measure of the goodness of fit of a linear regression model. It is calculated by taking the sum of squares of the residuals (SSR) and dividing it by the total sum of squares (SST). The closer R-squared is to 1, the better the model fits the data.<\/p>\n However, R-squared is not a good measure of variable importance. This is because R-squared is affected by all of the variables in the model, not just the one you are interested in. For example, if you add a new variable to a model that is already well-fit, R-squared may decrease even though the new variable is actually significant.<\/p>\n To determine the importance of a variable, you need to use a technique such as stepwise regression or ridge regression. These techniques allow you to add and remove variables from the model and see how the R-squared changes. This information can then be used to determine which variables are most important for predicting the response variable.<\/p>\n Here is a brief explanation of each option:<\/p>\n [amp_mcq option1=”If R Squared increases, this variable is significant.” option2=”If R Squared decreases, this variable is not significant.” option3=”Individually R squared cannot tell about variable importance. We can’t say anything about it right now.” 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-54797","post","type-post","status-publish","format-standard","hentry","category-machine-learning","no-featured-image-padding"],"yoast_head":"\n\n