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
Accepted
Which type of regression is most suitable for my situation?
I would use logistic regression. … In order to make sure this is the correct model you'll need to make sure you satisfy a few assumptions which are outlined here.
https://www.statisticssolutions.com/assumptions-of-logistic-regression/ …
0
votes
Optimal regression model for categorical independent variables and continuous dependent vari...
Have you tested to see if engagement rate is normally distributed? It's probably easiest to check this by plotting the data in a histogram or alternatively by using the shapiro wilk test for normality …
5
votes
2
answers
2k
views
Interpreting coefficients of ordinal independent variables in logistic regression in R
I have conducted a logistic regression in R
> Model <- glm(A ~ B + C, family = "binomial", data = Data)
> summary(Model)
Coefficients:
Estimate Std. …
0
votes
Accepted
How to setup data properly for regression analysis to calculate price elasticity?
If you look at multiple styles of watches you wouldn't be using linear regression. … I would set my data up to look something like this (but obviously include more weeks/months/years):
There's more information on this here:
https://www.statworx.com/de/blog/food-for-regression-using-sales-data-to-identify-price-elasticity …