query: R squared generated from regression with randomly generated variables
positive_passages.docid: 20153
positive_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: 122761
negative_passages.text: Confidence interval around difference of regression coefficients
negative_passages.docid: 151986
negative_passages.text: Generating a vector of dummy variables
negative_passages.docid: 39225
negative_passages.text: Generating values from a multivariate Gaussian distribution
negative_passages.docid: 120206
negative_passages.text: How to interpret coefficients of $x$ and $x^2$ in same regression
negative_passages.docid: 81623
negative_passages.text: Confidence interval of linear regression variable calculation
negative_passages.docid: 157141
negative_passages.text: Confidence interval interpretation in linear regression when errors are not normally distributed
negative_passages.docid: 32282
negative_passages.text: Why I am getting different $R^2$ from R LM and manual calculation?
negative_passages.docid: 49652
negative_passages.text: Generating random variables from a mixture of Normal distributions
negative_passages.docid: 105349
negative_passages.text: pull out p-values and r-squared from a linear regression
negative_passages.docid: 9381
negative_passages.text: How to derive variance-covariance matrix of coefficients in linear regression
negative_passages.docid: 138972
negative_passages.text: When is R squared negative?
negative_passages.docid: 102638
negative_passages.text: Computing variance of squared difference of i.i.d. uniform random variables
negative_passages.docid: 10730
negative_passages.text: Proof that regression residual error is an unbiased estimate of error variance
negative_passages.docid: 3397
negative_passages.text: R: linear regression: very small coefficient and R-squared but significant P values
negative_passages.docid: 116581
negative_passages.text: Quadratic models with R. The use of poly(..) and I(..) functions (R-language)
negative_passages.docid: 9356
negative_passages.text: Derivation of the formula for Ordinary Least Squares Linear Regression