Search Results
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 |
Techniques for analyzing the relationship between one (or more) "dependent" variables and "independent" variables.
1
vote
How to make a regression with two explicative variables and interpret the results
This can be a good start for the multivariate regression.
First of all, you need a mathematical model like this:
$y = \beta_0 + \beta_1 X_1 + \beta_2 X_2 + \varepsilon$. …
0
votes
Accepted
Is there a way to get an r-squared value for nonlinear regression line?
You can obtain an estimate of $R^2$ for non linear regression by calculate the square of the correlation value between the fitted values and the real values of the response variable. …
0
votes
Validation of modeling step of PLS
By using the PLS Regression, you can follow these steps:
Apply the algorithm by using a validation method (I recommend the full cross validation);
Select the number of latent variables that the validation …
0
votes
Normality of Residuals
No, because every time you build a model, you must test the normal distribution and the zero mean of the residuals. So, in your case, if you drop a variable of the first model you must re-test the nor …