query: Where do the assumptions for linear regression come from?
positive_passages.docid: 16120
positive_passages.text: What is a complete list of the usual assumptions for linear regression?
negative_passages.docid: 157141
negative_passages.text: Confidence interval interpretation in linear regression when errors are not normally distributed
negative_passages.docid: 149681
negative_passages.text: How should I check the assumption of linearity to the logit for the continuous independent variables in logistic regression analysis?
negative_passages.docid: 54112
negative_passages.text: Linear regression what does the F statistic, R squared and residual standard error tell us?
negative_passages.docid: 20216
negative_passages.text: Why do residuals in linear regression always sum to zero when an intercept is included?
negative_passages.docid: 142496
negative_passages.text: Uniqueness for OLS linear regression
negative_passages.docid: 158912
negative_passages.text: How to reduce the error in linear regression
negative_passages.docid: 52136
negative_passages.text: Linear regression with Laplace errors
negative_passages.docid: 65781
negative_passages.text: How is interpolation related to the concept of regression?
negative_passages.docid: 135975
negative_passages.text: Why would one suppress the intercept in linear regression?
negative_passages.docid: 86672
negative_passages.text: How are the standard errors of coefficients calculated in a regression?
negative_passages.docid: 98061
negative_passages.text: How to interpret coefficient standard errors in linear regression?
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: 7193
negative_passages.text: Textbooks on linear regression with least squares
negative_passages.docid: 22668
negative_passages.text: Linear vs. nonlinear regression
negative_passages.docid: 84693
negative_passages.text: Interpreting linear regression with NA for estimates
negative_passages.docid: 130070
negative_passages.text: In linear regression, what does $\beta_1 = 0$ really mean?