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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 $\alpha \text{ and } \beta$. …
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! …
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? …
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 …