query: How does uncertainty of observations propagate through linear regression fits
positive_passages.docid: 27929
positive_passages.text: Understanding shape and calculation of confidence bands in linear regression
negative_passages.docid: 106004
negative_passages.text: Linear Regression makes impossible predictions
negative_passages.docid: 36460
negative_passages.text: Intuition behind unbiasedness of ordinary least squares estimator
negative_passages.docid: 98061
negative_passages.text: How to interpret coefficient standard errors in linear regression?
negative_passages.docid: 96190
negative_passages.text: How can the regression error term ever be correlated with the explanatory variables?
negative_passages.docid: 17989
negative_passages.text: Error bars, linear regression and "standard deviation" for point
negative_passages.docid: 96119
negative_passages.text: Derive Variance of regression coefficient in simple linear regression
negative_passages.docid: 29429
negative_passages.text: What algorithm is used in linear regression?
negative_passages.docid: 105536
negative_passages.text: Understanding the shape of confidence interval for polynomial regression (MLR)
negative_passages.docid: 124337
negative_passages.text: Degrees of freedom in regression
negative_passages.docid: 122089
negative_passages.text: Singular information matrix error in lrm.fit in R
negative_passages.docid: 87713
negative_passages.text: How to propagate uncertainty to $\tan(x)$?
negative_passages.docid: 88363
negative_passages.text: Why is propagation of uncertainties quadratic rather than linear?
negative_passages.docid: 53821
negative_passages.text: interpretation of dummy coded linear regression
negative_passages.docid: 63048
negative_passages.text: R : constraining coefficients and error variance over multiple subsample regressions
negative_passages.docid: 4503
negative_passages.text: Assumptions of linear models and what to do if the residuals are not normally distributed
negative_passages.docid: 75701
negative_passages.text: Understanding linear regression