Why R is not significant (and very low), while all predictors are significant?
69616
Significance contradiction in linear regression: significant t-test for a coefficient vs non-significant overall F-statistic
23963
Why is it possible to get significant F statistic (p<.001) but non-significant regressor t-tests?
68126
Can independent variables with low correlation with dependent variable be significant predictors?
136164
Are smaller p-values more convincing?
99075
Interpreting residual diagnostic plots for glm models?
108527
Interpreting output from anova() when using lm() as input
120542
Should the predictor variables be normally distributed for Poisson glm?
119752
R: different predictor p-value in linear and multi-linear models
29875
Why not using the R squared to measure forecast accuracy?
86632
Only binary predictors -- ANOVA, regression, or other?
86876
Why doesn't collinearity affect the predictions?
24013
Is a weighted $R^2$ in robust linear model meaningful for goodness of fit analysis?
130841
Why is "statistically significant" not enough?
47872
Should covariates that are not statistically significant be 'kept in' when creating a model?
155022
Confusion over predict() command in R
79763
What do empty (missing) values in the output of PCA or factor analysis mean in R?
94552
Is it possible in R (or in general) to force regression coefficients to be a certain sign?