All Questions
Tagged with data-visualization multiple-regression
70 questions
1
vote
1
answer
47
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Interaction Plotting
How to draw an interaction diagram like the ones in the research articles. I am trying to plot an interaction diagram of a continuous predictor variable and a binary interaction variable on a ...
- 75
2
votes
1
answer
36
views
How to visualise the value of one predictor in a multiple linear regression
I'm looking for confirmation on whether the approach I have is statistically correct / straightforward, and if there might be any references supporting this line of thinking on how to visualise ...
- 41
0
votes
1
answer
41
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summary of the model is good but the plot is not normally distributed
I am doing a linear regression and the summary for the model is good however the plot is not normally distributed, i wanted to know if the model is still valid.
- 1
0
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0
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36
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Is this relationship between variables linear?
I have four research questions and all of them has the same main "independent variable", as such the relationship between x and y1, y2, y3, y4. This is not a multivariate analysis, I am just ...
- 83
1
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0
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40
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Confidence region of the predicted value in multiple regression that involves categorical predictors (plot)
I'm wondering how can I plot the confidence region of the predicted value in multiple regression that involves categorical predictors, using either R/Stata. I've read about predicting using the main ...
- 13
2
votes
1
answer
495
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Visualization of a linear mixed effect models, with two continuous fixed effects and a random effect with random slope and intercept
I have more of a stats question regarding mixed models.
Here is an example of a mixed model:
salary ~ years_experience + (years_experience|department)
Salary is ...
- 51
3
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3
answers
2k
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How can we visualize multiple regression with 3 or more continuous variables or with categorical variables
I'm trying to understand multiple regression visually.
So far I understand that when you have two continuous variables explaining y, this will take the shape of a plane (see the image).
What happens ...
- 51
3
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3
answers
6k
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Visualizing multivariate multiple regression of continuous data in R
I have created a multivariate multiple regression model with 3 dependent and 3 independent variables in R, and would like to generate meaningful visualizations. All variables are continuous. When ...
- 33
1
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2
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318
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Can we fit a regression model when the dependent variable is poorly correlated with the independent variables?
I have a requirement, I need to predict Y from 2 X_variables, I plotted two scattered plots ie Y vs X1, Y vs X2, As you can see the below pics, the plots are sparced. There is poor correlation between ...
0
votes
1
answer
1k
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Interpretation of logit versus independent variable plot for logistic regression
I plotted the log odds of my outcome variable against my predictor variables, hwt and ist. There is a hard vertical line in my hwt plot and a hard diagonal line in my ist plot. I have two questions: (...
- 39
4
votes
1
answer
332
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Residual Plot vs Fitted, linearity and Heteroskedasticity
I am working on a linear Regression Model right now,
it has the following format:
...
3
votes
1
answer
27
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Visualizing time series regression results in a causal framework
Suppose I have a set of independent variables that I believe to, collectively, cause the observed level and changes in the value of the dependent variable, and I have the results of a regression of ...
- 3,247
6
votes
2
answers
2k
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Questions concerning visualizing model results with the R-package visreg
Following some discussions with colleagues, I'm seeking for clarification on how to visualize an ANCOVA with visreg, and what the visualization actually shows.
I would like to run the following ANCOVA ...
- 111
3
votes
1
answer
1k
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Which plot to check for heteroscedasticity in a multiple regression model
I have a linear model like:
Reg.Model = lm(Y~X1+X2+X3, data=DF)
If I want to check for the presence of heteroscedasticity using a plot, should I plot the residuals ...
- 261
1
vote
0
answers
494
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R: visualizing regression lines while controlling for covariates
I am working with R, where I have a linear regression model specified in the following way:
mod = lm (data = dat, test_score ~ age + comprehension_score + IQ_score)
...
- 155
0
votes
0
answers
39
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GLM summary shows no significant difference for variable but difference can be seen in plot
I am doing a multiple regression to predict average sizes of fish between areas protected from fishing and areas open to fishing. The model also takes into account habitat parameters which are the ...
1
vote
1
answer
53
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How Do I Create a Better Model?
Disclaimer: I am a senior undergraduate student of Political Science with little proficiency in Data Science; please help me understand better and forgive any ensuing statistical illiteracy!
TL;DR: I ...
- 11
0
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1
answer
68
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How to graph multiple variables
I've been tasked with the challenge of creating ONE singular plot that entails a multitude of relevant given data.
There is one dependent variable vs three independent continuous variables, an ...
1
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0
answers
99
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Can you tell whether the linearity assumption holds by inspecting these graphs?
The multiple regression model in R looks like this:
> Model <- lm(log(Y) ~ log(x1) + x2 + x3 + x4 + log(x1)*x2, data=df), where ...
- 77
7
votes
0
answers
166
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Identifying non-linearities in relationship between variables
Logistic regression is often used to identify the effect of $x$ on a binary variable $y$ after adjusting for potential confounders $x_1,...,x_n$. In the medical literature, I will sometimes encounter ...
- 450
2
votes
1
answer
143
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Do these graphs show that the regression assumptions are met?
Is there any concern regarding this plot, specifically that it meets the homoscedasticity assumption? May I continue with multiple linear regression? How can I fix this?
My research is on household ...
- 21
1
vote
1
answer
708
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How to visualize impact of independent variable on dependent variable?
I have set of independent variables ( X1 , X2 ) and a dependent variable (Y) . I am using Multi linear regression to study the impact of X on Y .
( Detail : I would like to show both the magnitude ...
- 13
3
votes
1
answer
2k
views
Prediction plot and confidence intervals problems. Is this the best way to plot the relationship here?
I'm trying to convey some findings in which a score from 1-10 seems to predict disease status (binary).
I predict yhat and plot yhat with a quadratic fit against my predictor (score).
It looks ...
- 2,331
5
votes
1
answer
2k
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How can we visualize a multiple regression with >2 independent variables?
An easy way to visualize a multiple regression with 2 independent variables is by a plane, as a plane is defined by 3 points that do not lie within the same line.
So we have the Y-intercept, the X ...
- 2,331
1
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0
answers
465
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Partial Regression Plots and Effect Displays
I cannot grasp how to illustrate a multivariable general linear model. Suppose I have a multiple regression in which I predict blood pressure with age, sex, and %fat. Now, suppose I would like to ...
- 367
5
votes
1
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8k
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How to construct a scatterplot with regression line that adjusts for other covariates?
I am attempting to produce a scatterplot with a regression line whose intercept & slope are adjusted to account for another covariate in the model. (I understand that the data points don't change, ...
4
votes
2
answers
405
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Interpret Intercept Plot from Series of Quantile Regressions in R
Essentially, I am looking at a set of housing data from 2000-2017 and I am examining 'affordability' by year through quantile regression. The Y variable (affordability) is a ratio of what an ...
- 41
2
votes
0
answers
3k
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Standard partial regression plot vs. effect plot from 'effects' package
I'll use a modification of this example to ask my question about an apparent alternative way of presenting a partial regression plot, using the effects package.
...
- 23
2
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1
answer
230
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If diagnostics for multiple linear regression are ok, are diagnostics of the component variables needed?
This is a follow-on question from here. I received two conflicting answers to the question posed in the title of this post. The diagnostics of the multiple regression looked okay (see link), but it ...
- 129
4
votes
2
answers
6k
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Rules of thumb for partial residual (component + residual) plots as diagnostics for linearity?
Here are the standard R diagnostic plots of a multiple linear regression model that includes an autoregressive term at lag-1 (i.e. AR(1)). I have logged & z-scored my input data.
Ben Bolker says ...
- 129
1
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1
answer
57
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Non-normality in the error term
The above graph is taken from a sample of 3796 observations. You're asked to run a regression of ed on dist which gives " ed = 13.96 - 0.07*dist "
Then he asks, which assumption of the CLNRM ...
- 11
1
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0
answers
28
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Performing regression with 1-d response and a 2-d predictor?
I have a dataset I'm trying to figure out how to properly analyze. I'm exploring both how hours spent studying and timing of preparation correlate with test outcomes.
The model is as such: response =...
- 165
3
votes
1
answer
1k
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Interpreting the residual plot [closed]
I'm new to Machine Learning, I have difficulty in interpreting this residual plot(multiple regression) to find out whether the error is random or not(following some pattern). Would you please share ...
- 109
1
vote
1
answer
600
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Can we use Correlation coeffiecients in non linear case
So I am having a data of several variables (one is a dependent variable and the others are independent variables). I am not sure if the relation between each of these independent variables and the ...
- 867
1
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0
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586
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How to report multivariate linear regression results
I want to evaluate association between two continuous variables. But in my data, there are confounding factors such as age, weight,... I think that simple correlation analysis is not correct for this ...
- 71
0
votes
0
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257
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Interpreting Residual plots: Linear Regression [duplicate]
I created one simple regression model for predicting the amount of loan that needs to be given to a particular individual. I plotted the residual plots to understand the underlying assumptions in the ...
- 101
1
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0
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204
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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 ...
- 11
0
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0
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26
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How to draw the bounds of a model around the 1:1 line
I have a regression model and I want to plot the measured values versus the predicted values. I have seen that in many papers researchers superimpose a 1:1 line with a ±𝛔 bounds of the model shown. ...
6
votes
1
answer
2k
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How to visualize models after multiple imputations by chained equations
I'm starting to prefer visualizations of my regression models as opposed to tabular output (OR's, beta-coefficients, 95%CIs). However, I struggle to find a good way to do this when I am undertaking ...
- 626
7
votes
1
answer
5k
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Multiple regression avPlots vs termplot
What is the difference between an avplot and a termplot?
Let say I run the following model in R:
...
- 2,361
6
votes
1
answer
2k
views
0
votes
0
answers
105
views
Simple linear regression in multiple linear regression analysis
I am doing a multiple linear regression analysis project, and my instructor told me that I shouldn't be fitting the simple linear regressions at all. Does that mean scatter plots and added variable ...
- 625
4
votes
1
answer
1k
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Low slope in Added variable plots indicative of what?
I have 8 predictors and for 4 of them, the AV plots have a slope close to 0. Is that enough information for me to leave out these predictors in my model?
- 625
2
votes
1
answer
2k
views
Partial residual plot with interactions?
The NIST website's description of the partial residual plot says that it plots
$$
\text{Res}+\hat\beta_iX_i\text{ versus } X_i
$$
where
$\text{Res}$ = residuals from the full model
$\hat\beta_i$ = ...
- 161
2
votes
2
answers
1k
views
Researching non-linear correlations through scatterplot matrix
I am trying to understand the correlations among three explanatory variables of commercials and response variable sales through the scatterplot matrix. It seems like there are nonlinear relationships.
...
- 29
5
votes
2
answers
2k
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What would cause a residual plot to be entirely above 0?
What would cause a regression model to always under predict?
For over a year now an associate of mine has been producing a linear model for a client which predicts trends with reasonable accuracy but ...
- 225
1
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0
answers
168
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How to check interaction effect at various values of the compounding variables?
Suppose an interaction between $x_1$ and $x_2$ so that $\hat{y}=\beta_0 + \beta_1x_1 + \beta_2x_2 -\beta_3x_1x_2$.
The interaction coefficient is an estimation of the effect at the mean values of the ...
- 45
1
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0
answers
734
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Lift Charts in Multiple Linear Regression
When lift charts are generated in a Multiple Linear Regression model, for example, in predicting a continuous variable such as price of a car, how can they be explained in evaluating the performance ...
- 11
2
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0
answers
1k
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Use of Excluded Variables Table on Multiple Regression
I'm currently running a multiple regression analysis as part of my first year PhD study, trying to predict Theory of Mind through 2 variables of interest while controlling for socio-demographic data. ...
- 21
4
votes
2
answers
4k
views
Can I analyze or model a conditional correlation?
In my research I'm looking at the correlation between self-harm and aggression (both continuous). Now, I also have some variables (e.g. depressive symptoms; also continuous) which I do believe ...
- 41