query: How to interpret lm output
positive_passages.docid: 3845
positive_passages.text: Interpretation of R's lm() output
negative_passages.docid: 118758
negative_passages.text: Interpreting multiple regression with transformed response variable
negative_passages.docid: 108527
negative_passages.text: Interpreting output from anova() when using lm() as input
negative_passages.docid: 121906
negative_passages.text: Fit of the l equation
negative_passages.docid: 15085
negative_passages.text: What do the symbols displayed by ls -F mean?
negative_passages.docid: 34562
negative_passages.text: What does each part of the `ls -la` output mean?
negative_passages.docid: 67166
negative_passages.text: Interpreting log likelihood
negative_passages.docid: 9540
negative_passages.text: Output precision
negative_passages.docid: 36464
negative_passages.text: How to interpret coefficients from a polynomial model fit?
negative_passages.docid: 98439
negative_passages.text: In statistics, should I assume $\log$ to mean $\log_{10}$ or the natural logarithm $\ln$?
negative_passages.docid: 108445
negative_passages.text: Am I interpreting this coefficient correctly?
negative_passages.docid: 137238
negative_passages.text: Interpreting coefficients of first differences of logarithms
negative_passages.docid: 153494
negative_passages.text: What do I interpret from the unit root test?
negative_passages.docid: 105482
negative_passages.text: Interpreting summary function for lm model in R
negative_passages.docid: 106743
negative_passages.text: Is there any difference between lm and glm for the gaussian family of glm?
negative_passages.docid: 127883
negative_passages.text: making predictions with log-log regression model
negative_passages.docid: 53308
negative_passages.text: Back transforming regression results when modeling log(y)