Questions tagged [interpretation]

Refers generally to making substantive conclusions from the results of a statistical analysis.

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log (soccer size) and log (number of children) [duplicate]

I would love to hear your thoughts on this issue; Is the number of children a count variable and how can I interprete this regression below (I'm having a hard time saying, if you increase the ...
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Interpreting interaction term when X1 effect on Y depends on X2 but X2 effect on Y does not depend on X1

Imagine a set of variables, X1, X2, and Y, all continuous variables. There is a simple case where X1 and X2 affect Y such that: Y = alpha + β1 X1 + β2 X2 + error Using R syntax, a model to analyze ...
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Interpreting ATT in PPM

I am attempting PSM for my observational study. I have created a propensity score, checked balance for treated and controls (using pstest), and used psmatch2 command in STATA. My outcome is mortality (...
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Would anyone know how I could interpret the log-log regression with age below? ln (Income) = const + 0.30 ln(Age) + ut I don't understand how it is possible to say that if age increases by 1%, income ...
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Why is my highest coefficient not significant but lower ones are? (Poisson regression)

I'm looking to see if income level affects the number of pets a person has, controlling for number of children. I have run a GLM (Poisson family) model, and found that if a person is categorised as '...
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Linear-mixed effects model for repeated measure with 3 interactions (one continuous) result interpretation

The data is: https://ibb.co/ry7GmwL My model is: ...
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terms with log-log regression with dummy variables and quadratic interaction terms [closed]

Y = C + α1 ENG + α2 ENGX + α3 ENGX^2 + α4 X + βZ + u Y = log of house price; ENG = 1 if house price listing is in English; zero otherwise X = log(size) house in square meters; Z = control variables; u ...
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Interpreting multilevel mediation analysis in R with continuous predictor

I conducted an experience sampling study (with measurement occasions, lvl-1, nested in participants, lvl-2) and now want to investigate, whether daily flow experience (lvl-1) mediates the relationship ...
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Interpreting the p-value in Spearman's rank correlation

I have a dataset of 50 values. The data is not normally distributed. Executing the spearman function returned the result below. Is this a strong relation? Was the association caused by a random ...
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Help interpreting gamma (log) GLMM results in R

I am not a statistician and am having trouble interpreting my results below... would really appreciate some help! My dependent variable is Euclidean Error and my independent variables are Light, ...
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How do I write out the components of my beta regression, and how do I interpret them afterwards?

I am estimating a beta-regression using the logit-link function with a continuous dependent variable bound between 0 and 1 and 5 continuous predictor variables. In R the equation is given by: betareg(...
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I have a VAR model, can I use the R-square values to explain how good the model explains the dependent variable and if yes, how will it be done

I have a VAR model, can I use the R-square values to explain how good the model explains the dependent variable (explanatory power of the model) and if yes, how will the values of the R-square be ...
34 views

transformation retransformation von Estimates [duplicate]

I run a linear mixed model; nested it for the species ID. Hereby I have transformed my response variable. This is what my output is: Now I read that I the parameter estimate tells me how much the ...
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What's wrong with this interpretation of a 95% confidence interval?

Note: I asked a version of this as part of another question, but I'm re-asking it as a stand-alone question with more detail. I've been trying to come up with more intuitive/less confusing ways to ...
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Why did Clustering Algorithms Become so Popular Despite their Results often Being "Uninterpretable"?

I understand the clustering algorithms are usually considered as "unsupervised algorithms", which means they can function in the absence of a response variable, making them applicable in ...
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Interpret interaction coefficients in a negative binomial

Trying to understand count distributions of a fish species over two habitat types (class variable) and three seasons (class variable). The table below shows the results of a hurdle negative binomial ...
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Non-self-referential interpretation of confidence intervals?

Interpreting what a (say) 95% confidence interval actually means is obviously tricky, especially when you are trying to teach it to students just beginning to learn stats. One of the biggest ...
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Interpreting Bayesian ordered categorical model

I have a question about Bayesian model interpretation. I originally posed a question about the type of model I should run, and Solomon was very kind to help(https://discourse.mc-stan.org/t/setting-...
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Interpreting standard deviation of random effect in mixed effects model

I've got question regarding range of values in random effects in mixed effects models. Based on some observations, I've build a mixed effects model. Values of the dependent variable has been ...
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I have done a correlation in R and I'm unsure on the output?

I'm new to stats and have made this correlation table. I'm specifically looking at sdsa (Social desirability scale) to see if my variables (confa = confidence, conta = Control, consa = constancy) were ...
35 views

Poisson Regression with both categorical and numerical variables: interpreting the outcomes and intercept

I have some difficulties in thoroughly interpreting all the outcomes of the Poisson Regression Model. I have a Poisson regression model with Observed deaths as dependent variable, A categorical ...
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I am looking to present the greatest predictor of performance given the following R output for multiple linear regression

I used Linear regression analysis with a sample and recieved the table below. How do I interpret the results? The underlying problem is finding the greatest contributor to $SMTQ$. $SMTQ$ - Sports ...
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How do I summarize the “contribution” of covariates in a GLM?

Qualitatively, I want to answer the question: Given that the effect of a covariate is statistically significant (as assessed by the p-value / confidence interval of its coefficient), how important is ...
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How to interpret hierarchical regression output that has insignificant IV in step 2, but still shows significant F

I'm working through a 4-step hierarchical regression where the first step is to add grouping variables (student standing, gender, & previous experience) and the 2nd step as adding a psychological ...
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Ridge Trace Plot - Interpretation

In my research, I aimed to perform a regression model with four predictors and one response variable. When I verified a high collinearity among the predictors, I was instructed to handle this problem ...
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How do I interpret or explain loess plot?

I used the following R code: ...
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How do I interpret marginal effects in Logit?

Impact of Non-Communicable diseases on Employment, where loss of employment is considered as a dummy variable where: 1 equals loss of job by the patient 0 otherwise A logistic regression with ...
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Is it possible to do mixed ANOVA in statsmodels?

I'm analyzing an experiment where I have groups of people labeled y and o and all participants view three visualizations which ...
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When interpreting machine learning models, should preprocessing steps be considered as part of "model"?

Suppose I have some inputs on which I first apply some feature engineering and then apply a machine learning algorithm such as random forest to make predictions. Now, if I want to interpret/explain ...
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Can I use all estimates in a first differenced regression to apply to levels?

I have a time series y where I took the first differences, y’, and an independent variable x where I also took the first differences to get x’. When I run a regression between y’ and independent ...
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Interpreting regression coefficients with log percentage as dependent variable and first difference of share as independent one

I estimate a model where the dependent variable is log-transformed percentage (0-100) and the independent variable are the first differences of a variable that is simply given as a share (0-1) whereas ...
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Decision Trees and SHAP Values

I've recently been using some (optimal) decision trees methods in R, such as 'evtree' and 'iai.' Both of these provide really nice interpretable plots. And out of the 12 covariates I have in my model, ...
25 views

How does caret measure Accuracy and Kappa?

I have trained a logistic elastic net regression using caret package and the method "glmnet", with trainControl set to repeated cross-validation. I don't know how to interpret the Accuracy ...
34 views

Interpreting p-value from GLMMTMB model

I'm analyzing count data from an experiment, where I want to study whether colonies of ants with different ratios (0, 50 100) of infected workers have different foraging activities. I am using the ...
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Three-way interaction cox hazard. (Testing the difference in impact of a two-way interaction for two groups)

Some background: For my dissertation I'm working on a survival analysis on the hazard of exiting a firm for men vs women. After doing the basic analysis I want to investigate if the control variables ...