Am I correct in thinking adding too many variables to a regression model can increase the likelihood of overfitting the model, reducing statistical power and increasing the chances of error? Are there references to show this?
Related Posts with Adding too many variables to a regression model
While using rangerun, change the order of items in a local macro containing variable list (dummies) at each iterationThe code below records coefficient estimates at each iteration. There are always two dummy variables…
Collapsing time series data by geographyI have some data about social movements and it includes when social movements occurred. I'm trying t…
Error: no observations when running regressionsHello, I am trying to run some regressions and getting an error that says there are no observations,…
Bar graph, put bars in specific orderDear all, I produced a bar graph over income group, I'm trying to order the bars as lower-middle, u…
Bayes Factors for t-testHi Listers, A reviewer has suggested presenting Bayes Factors. I am wondering how to do this after…
Subscribe to:
Post Comments (Atom)
0 Response to Adding too many variables to a regression model
Post a Comment