Is there a simple way to assess if there is enough variation in your dependent variable, or is it best to just run the regression and asses the R-squared value?
Related Posts with How to assess if there is enough variation in your dependent variable
Listing a series of 10 max and 10 min values of a variable in stata- Robust standard errors - OLS - Right-skewed distribution
- How does the PPML command check for overfitting?
- MGARCH VCC Predict Conditional correlation
- Several regressions in one output table: Independent variables in rows, dependent in columns
Subscribe to:
Post Comments (Atom)
0 Response to How to assess if there is enough variation in your dependent variable
Post a Comment