3
votes
1answer
85 views

How to explain control variables and interaction effects

I'm a bit stuck on running a GLM between 3 continuous variables in R. I can't make them categorical as it removes the significance. I have two questions. I'm analysing data on eggs. I had read that ...
1
vote
0answers
14 views

Controlling for respondents' propensity to rate high/low or moderate/extreme

I am doing a simple linear regression to test the relationship between voters' self-reported policy stands and their approval ratings for two hypothetical presidential candidates in a simulated ...
4
votes
2answers
62 views

How can I calculate the effect of my equipment on my sport's performance?

I'm doing a stationary sport like golf, so the details matter. I'm recording each of my scores with detailed information about the equipment I'm using, and the weather conditions. So 1 score has 2-3 ...
1
vote
0answers
44 views

Unexpected correlation, Method to account for the shared variance

Summary: While looking at the correlations I noticed a wired, relation. Variables: User comments - A; User community activity- B; Comments on user's wall - C (control) I expected that A and B will ...
0
votes
0answers
25 views

Base model regression with controls

Summary: I have a regression model hypothesizing mediation effect. Next to the variables I am interested to, I also have few control variables. First I want to express the base regression model. Then ...
2
votes
1answer
132 views

How to control for a variable

The goal of the analysis is to find a correlation between birth context and stature, while controlling for age. Each person has an ID number, age, stature, and birth context. That last part is what ...
0
votes
0answers
69 views

Too many controls?

I am purposely keeping this question vague since this has happened to me with multiple datasets. I have a DV and a few IV then several controls, and all looks fine. Then I add one more controls and ...
0
votes
1answer
123 views

Partial correlation

I want to create a regression model to predict state crime rate. There are two variables among 10 ( Vi= # of violent crimes per 100,000 population, Vi2 = # of violent crimes per 10,000 population) ...
5
votes
3answers
931 views

How to control for market return in an (SPSS) OLS?

Please consider the following panel dataset: ...