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 37155

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

8 votes
6 answers
1k views

Is the estimated value in an OLS regression "better" than the original value

Using a simple ordinary least squares regression: $ Y = \alpha + \beta \times X$ we can estimate the dependent variable $Y$ through the regression parameters of $\alpha \text{ and } \beta$. …
Carol.Kar's user avatar
  • 705
1 vote
1 answer
91 views

Forecast multiple regression in R

I created for the following data set a multiple regression. Now I would like to forecast the next 20 data points. … Any suggestion how to forecasting using multiple regression? I appreciate your replies! …
Carol.Kar's user avatar
  • 705
1 vote
0 answers
10k views

Error Output - Wrong model type for regression

.) : wrong model type for regression As you can see in my train function I get an error. Any recommendation why my presented R code does not work? Why is my model type wrong? …
Carol.Kar's user avatar
  • 705
2 votes
1 answer
169 views

Getting lagged values of indep. variables to model contemporaneous values of the dep. variable

I am trying to forecast the variable, oenb_dependent: My current sample data looks like that: > dput(datSel) structure(list(oenb_dependent = c(1.0227039, -5.0683144, 0.6657713, 3.3161374, -2.158670 …
Carol.Kar's user avatar
  • 705