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### How to visualize multivariate linear regression? [duplicate]

When I have data which has one dependent and one independent variable, I can clearly explain it in cartesian coordinate system here is a regression line when my $y$ approximately equals to $2x + 3$ ...
12k views

### Predicted by residual plot in R

I'm wondering what the difference is between: 'predicted by residual plot' where I plot the residuals of the regression with the predicted values of the regression ; the case where I plot the ...
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### Clarifications regarding reading a nomogram

Following is a nomogram created from mtcars dataset with rms package for the formula: mpg ~ wt + am + qsec The model itself seems good with R2 of 0.85 and P<0....
7k views

### R - Plot multiple regression line with confidence intervals with ggplot2 [closed]

Somewhat newbie question here. I'd like to use ggplot2 to plot my multiple regression model, but I ran into an error. I did some research on the forum before deciding to ask the community. I ...
4k views

### Plot regression with interaction in R

I did a regression analysis with the following variables: Predictor = dummy variable, dependent Variable = metric, moderator variable = metric. I now want to show my results in a figure. The ...
3k views

### Interpretation of odds ratios in a multiple logistic regression with interaction

I'm trying to formulate, for a report for non-scientists, the ouptut of a binomial model. However, I have some troubles with the log odds ratios, probabilities and stuff. I read some related topic but ...
683 views

### Put interested effect as IV or moderator in an interaction plot?

Say I am plotting the following interaction: mpg ~ cyl*disp (from the mtcars dataset in R). ...
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### What is the meaning of the beta for the interaction between continuous variables in a linear mixed-model?

If I create a mixed-effects linear regression model similar to the following (using the lme4 package in R), where all of the fixed effect variables are continuous: ...
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### visualization of interaction effects: using predicted values?

I am currently working on a study in which I am using beta regression (in Stata). My depend variable is bounded between 0 and 1. To interpret the effects of my independent variables I am using the ...
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### Graphical Multiple Linear Regression in Stata

Consider this standard linear regression model: $Y = \beta_0+\beta_1X_1+\cdots+\beta_pX_p+\epsilon$ I've loaded such a dataset into Stata 12.0, so I have some variables $y,x_1,x_2,\dots,x_p$. How do ...
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### In a regression problem, having a variable highly correlated with our target messes up the optimization of the parameters?

In a discussion with a colleague, she told me that if a variable X_i in our design matrix (X) is highly correlated with our variable of interest (target, y, etc), it will make the regression unsovable ...
164 views

### Visualizing a regression with 1 DV and multiple IV [closed]

I am working on a paper, attempting to explain the effects of certain influences on terrorist organizations with regards to politicizing. Using VISREG I am able to create visualizations to depict ...
193 views

### What is a fair way to visualize separate effects of multiple continuous predictors in a mixed-effects model?

I have a fitted mixed-effects model with a continuous dependent variable and multiple predictors that each vary by multiple random factors. In R, a simplified version of the model has the following ...