All Questions
Tagged with interaction linear-regression
34 questions
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Power analysis for multiple regression with binary moderator - Determining sample size
I want to conduct an a priori power analysis to determine the necessary sample size for a proposed project. I will estimate a regression between two continuous variables with a binary moderator (...
- 45
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1
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239
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R forcing computation of interaction term estimates for reference level when it shouldn't
I am trying to run different sets of regression models with fixed effects uisng feols from the fixest package in R. I run into issues where R forces me to compute the interaction of the reference ...
- 637
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97
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Three-way interaction in regression does not show the interaction terms and estimates
I'm running a linear regression model with a 3-way interaction, and the model runs, but it does not give me the actual interactions, how can I check if there's any interaction between the 3 terms (...
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15
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Various linear regressions that activate in linear regression within the same model
I want to create a linear regression of the next sort:
$$Y=(1-\sigma)(\alpha_i + \beta_i x)+ \sigma(\alpha_j+\beta_j x)+\varepsilon$$
Where sigma refers to different time periods. I want to run it ...
- 11
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306
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Three-Way Interactions Missing in Multiple Regression Model with 4 Predictors?
I have four predictors that are meant to predict a variable called "quit", and I'm trying to run a multiple regression model to look at how they interact. However, when the model returns its ...
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943
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How do I write a linear model with multiple variables using ggplot in R?
Imagine if my linear regression model was: lm(y~x + N * P) -> (the multiplication is for an interaction)
How would I plot this using ggplot? That all variables are used in the linear regression ...
- 11
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1
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685
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How to include 3 interactions with a SINGLE predictor in lmer
I know that I could use lm(a ~ (b + c + d)^2) in order to get all possible two-way interactions in a model, but I need only the interactions with a single predictor. Let's say I want the possible ...
- 868
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How to calculate the partial R squared for a linear model with factor interaction in R
I have a linear model where my response Y is say the percentage (proportion) of fat in milk. I have two explanatory variables one (x1) is a continuous variable, the other (z) is a three level factor.
...
- 11
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1
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2k
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Interaction terms of the same variable with multiple variables
I have a model
lm = a ~ b
I would like to include c, d , e that represent interactions terms with b =>
lm = a ~ b + b:c + b:d + b:e.
Is there a rapid way to obtain this result without taping ...
- 329
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Multiple Regression with Interaction
I've come across somewhat of a confusing topic relating to the syntax of multiple regression with explanatory variables and their interactions. A DataCamp explanation led me to think that:
lm(formula =...
- 61
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491
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Compare treatment effects in three way interaction between two continuous variables and one categorical variable in R
I am trying to run a linear regression model which contains continuous variable A * continuous variables B * categorical variable (treatments with 4 levels). Data can be download here.
Model<-lm(...
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Interact_plot keeps coming back with Error: data must be compatible with existing data
I have been trying to solve this for days, so any help would be appreciated!
I am trying to make an interaction plot for an OLS Regression.
This is the code I am using:
interact <- lm(ele$vt_c ~ ...
- 11
2
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140
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Interaction effects in regression models - should I include the dummy coding reference group?
I have a question about coding interaction effects using dummy coding which I’d be really grateful for your advice on please.
Imagine I want to design an experiment to measure the impact of amount of ...
- 21
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36
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Stratifying Interaction in R
I have been putting in these codes:
race_caucasian <- lm(ds$BMI~ds$User+ds$Age+ds$Female+ds$Insurance+ds$Income+ds$Vaccine+ds$Nonsmoker,data=subset(phrnew,Caucasian=="1"))
And
race_other ...
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1
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417
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Interpreting overall effect if main and interaction effects are present?
Let's supoose, I have three Independent categorical variables e, f and g and would like to estimate the dependent variable y. After some work, I come with the following regression model:
y = b0 + b1*...
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