R linear regression - how to handle when some factors significant while others aren't
6089
Can I ignore coefficients for non-significant levels of factors in a linear model?
73201
How to solve collinearity problems in OLS regression?
123720
Using multinom() and glm() functions in R to determine at what extent multiple factorial variables influence the outcome. Get different results
24013
Is a weighted $R^2$ in robust linear model meaningful for goodness of fit analysis?
24162
How do you "control" for a factor/variable?
31175
Interpretation of betas when there are multiple categorical variables
157122
How can factor-levels be automatically chosen in R to maximize the number of positive coefficients in a regression model?
124715
Multicollinearity when individual regressions are significant, but VIFs are low
9915
Adding Interaction Terms to Multiple Linear Regression, how to standardize?
41983
What happens when I include a squared variable in my regression?
3397
R: linear regression: very small coefficient and R-squared but significant P values
20835
Residuals correlated positively with response variable strongly in linear regression
51310
Linear regression polynomial slope constraint in R
31279
How to test for a significant difference between several dependent correlation coefficients?
84435
Testing whether two regression coefficients are significantly different (in R ideally)
30562
Does it make sense to include a factor as both fixed and random factor in a Linear Mixed Effects Model?
95262
Can I still use logistic regression if some variables are not applied to all the observational units?