Skip to main content
Search type Search syntax
Tags [tag]
Exact "words here"
Author user:1234
user:me (yours)
Score score:3 (3+)
score:0 (none)
Answers answers:3 (3+)
answers:0 (none)
isaccepted:yes
hasaccepted:no
inquestion:1234
Views views:250
Code code:"if (foo != bar)"
Sections title:apples
body:"apples oranges"
URL url:"*.example.com"
Saves in:saves
Status closed:yes
duplicate:no
migrated:no
wiki:no
Types is:question
is:answer
Exclude -[tag]
-apples
For more details on advanced search visit our help page
Results tagged with
Search options not deleted user 48622

Techniques for analyzing the relationship between one (or more) "dependent" variables and "independent" variables.

2 votes
0 answers
235 views

High $R^2$ on Ordinary least squares model with violated assumptions. Is it good?

Recently I tried to fit some points which (from the plot) seems linearly distributed. The fit result (in R) is: Residuals: Min 1Q Median 3Q Max -112223 -2532 2021 3698 …
marcodena's user avatar
  • 647
18 votes
4 answers
3k views

Why is Ordinary Least Squares performing better than Poisson regression?

I'm trying to fit a regression to explain the number of homicides in each district of a city. … a Poisson regression. The problem is that I have better results in the OLS regression: the pseudo-$R^2$ is higher (0.71 vs 0.57) and the RMSE as well (3.8 vs 8.88. …
marcodena's user avatar
  • 647
2 votes
0 answers
272 views

Exploratory data analysis. What features are important?

I am trying to fit the number of crimes in a city with some enviromental variables (aka my features). I'm using a Poisson/Negative Binomial model since I have count data. The problems are: selecting …
marcodena's user avatar
  • 647