query: What does small R squared mean in linear regression
positive_passages.docid: 3397
positive_passages.text: R: linear regression: very small coefficient and R-squared but significant P values
negative_passages.docid: 109310
negative_passages.text: Understanding “the mean minimizes the mean squared error”
negative_passages.docid: 135975
negative_passages.text: Why would one suppress the intercept in linear regression?
negative_passages.docid: 20153
negative_passages.text: What is the distribution of $R^2$ in linear regression under the null hypothesis? Why is its mode not at zero when $k>3$?
negative_passages.docid: 56894
negative_passages.text: Is it a problem to get a negative adjusted r-squared?
negative_passages.docid: 59243
negative_passages.text: What is the meaning of %r?
negative_passages.docid: 146222
negative_passages.text: R-squared is equal to 81% means what?
negative_passages.docid: 33843
negative_passages.text: Assumption Of Linear Regression
negative_passages.docid: 152417
negative_passages.text: Why to report R squared?
negative_passages.docid: 81547
negative_passages.text: Effect of switching response and explanatory variable in simple linear regression
negative_passages.docid: 116463
negative_passages.text: R linear regression issue : lm.fit(x, y, offset = offset, singular.ok = singular.ok, ...)
negative_passages.docid: 109914
negative_passages.text: Generalized Least Squares vs Ordinary Least Squares under a special case
negative_passages.docid: 69094
negative_passages.text: Relationship between $R^2$ and correlation coefficient
negative_passages.docid: 124337
negative_passages.text: Degrees of freedom in regression
negative_passages.docid: 103272
negative_passages.text: Defining a univariate regression
negative_passages.docid: 41983
negative_passages.text: What happens when I include a squared variable in my regression?
negative_passages.docid: 11880
negative_passages.text: When is it ok to remove the intercept in a linear regression model?