Questions tagged [interpretation]

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

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Using ratios and the numerator as explanatory variables in regression analysis with fixed effects

I am running a fixed effects regression analysis with a ratio of number of sellers per capita and the number of sellers as explanatory variable on its own. How should I interpret the results? My ...
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Asking: interpret tobit regression to estimate willingness to pay from payment card

I have a research question, that I have to evaluate the Willingness to pay data for conservation. My input data in the type of payment card : $0, <\$2, \$2-\$4, \dotsc, >\$10$. I use middle ...
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How do you interpret results from crossCorrelation in R from spatialEco package?

I want to use the crossCorrelation function from the R package https://rdrr.io/cran/spatialEco/man/crossCorrelation.html spatialEco to examine the relationship between people's perceptions and the ...
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How to interpret change in main effect odds ratio with continuous by continuous interaction term?

I am running a logistic regression model to evaluate how age and another measured variable (endo_thickness) associate with clinical pregnancy as an outcome. Both associate at a univariate level with ...
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Interpretation of Regression Coefficient of Created variable

I have created a new independent variable based on the sum of the old variable. The old variable is a fraction that ranges from zero to one (e.g. 0; 0.1; 0.5; and so on). To create the new variable I ...
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Does this interpretation $\phi'(x)=-x\phi(x)$ of the normal distribution have any significance?

For the standard normal distribution $\phi(x)$, we can see that $\phi'(x)=-x\phi(x)$. Put differently, $\frac{\mathrm{d}\ln(\phi(x))}{\mathrm{d} x}= -x $. I see this as the fall in the value of the ...
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How to interpret significance of interaction term?

I have a problem interpreting an interaction effect. The interaction term (continuous_variable*Female) is significant (p < .05) in logistic regression, but the ...
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Event History Analysis (Discrete Time)-Substantive Effects Interpretation

I am working on an event history analysis project. I am using a discrete time survival model. Specifically, I am using a logit model. I am interested in examining the substantive effects. Can you ...
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Survival analysis output interpretation

I have two questions on survival analysis I was hoping some clever people on this forum could help answer for me! (1) In Cox proportional hazards model, if you add one variable onto the model (going ...
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How to interpret coefficients from rank based regression (Rfit package in R)?

I need to examine the relationship between an outcome variable (continuous) and a number of predictors. Since my data is non-normally distributed (i.e. the residuals from the multiple linear ...
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Boxplot without top whisker

I'm having some questions and hope some one could help me with them. When I plot the data into a boxplot, there is no top whisker but lots of outliers which is above the upper bound. As I'm looking ...
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Linear regression vs survival models in R

I have a question about survival analysis with a gaussian distribution of the response variable. I have interval censored data, that look something like this (just an example): ...
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Three-Way Anova: What does a significant three way interaction tell you conceptually?

Here's a made up example. Let's say that I have two factors, energy drink (Gatorade vs water) and gender (male and female). The outcome variable is mile time. A significant two way interaction between ...
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Report and Interpret Odds Ratios

I need to interpret odds ratios from a multiple logistic regression predicting self esteem ("SelfEsteemHigh")from 2 predictor variables (agreeableness & conscientiousness). ...
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How to interpret triple interaction in difference-in-differences

Suppose that I have a dummy $treated_s$, which indicates whether a state $s$ was treated at any point in time, and a dummy $time_t$, which indicates whether year $t$ is after the treatment year. The ...
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Confidence Interval “barely” includes the null, interpret as slightly increased risk of mortality?

I was reading this paper: Peralta, G., Sánchez, M.B., Roiz, M.P. et al. Diabetes does not affect outcome in patients with Enterobacteriaceae bacteremia. BMC Infect Dis 9, 94 (2009). https://doi.org/...
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Interpretation of regression variables

I hope you are well and that you are keeping safe. I was hoping you would be able to help me with an interpretation of a coefficient in my dissertation. I'm looking into the effects of air pollution ...
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Need help with conflicting regression and margins results!

I'm writing a thesis, for this thesis I'm doing an OLS regression with an interaction term. This interaction term turns out to be significant p < 0.05, one of the main effects is significant aswell ...
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How to interpret these acf and pacf graphs? [closed]

I am trying to analyze these pltos but having a hard time since I don't know if they are even right... So i follow your advice and these new plots is what i got:
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Interpretation of y-axis in partial dependence plot

First off, I know there are many questions on this site similar to this one. I've read them, and have not been able to find a solution. In Elements of Statistical Learning, the following figure shows ...
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Conditional Indirect Effects and Then Probing

I am performing a moderated mediation as shown below. In this particular example, this is depicted as a "second-stage moderated mediation". According to Muller et. al. 2005, moderated mediation ...
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difference between R splines bs() and ns()?

I would like to model repeated measures data with R and the library splines. However, I am kind of confused about the difference between the bs () and ns () functions. (I am sorry if this might be ...
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Interpretation of interactions in inverse gamma glmm

i want to calculate the effects that the interaction between zone (4 levels), species (2 levels) and distance from contact zone (continuous) has on the pulse repetition period - song rate of the two ...
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Help on interaction terms

Briefly, I am analysing how competitions and games run and what can affect performance in those competitions. Each individual plays in multiple competitions one after each other and receives an ...
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¿How to compaire nested logit models using anova in R?

I have two logit models: Model A: ...
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1answer
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Meaning of log-fit_ratio lnω in rstanarm AOV output

In the output of rstanarm's stan_aov() one of the parameters is the so-called log-fit_ratio, which, in one of the vignettes, is ...
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How to interpret transformed predictor variable in GLM regression?

Recently encountered a research paper which included a GLM regression with a binary dependent variable. One of the predictor variables, x_t, (or independent variable), is transformed by the following: ...
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Interpretation of estimation results

I have to analyze a paper for my econometrics class ("Happiness on Tap: Piped Water Adoption in Urban Morocco", Devoto et al., 2012) and I cannot wrap my head around something. In analyzing the ...
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What do the intercepts of multinomial logistic regression model mean?

I am interested in comparing the microhabitat choices made by juvenile lobsters. Lobsters were presented with a patch of seagrass and another habitat type (ie bare sand) at different seagrass ...
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1answer
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Interpretation of interaction coefficients in difference-in-difference

There are two time periods: 2010 and 2015 There are two groups: treatment and control group The equation looks like this: $$ y= a + b_1\text{treat}+ b_2\text{post} + b_3\text{treat}\cdot\text{...
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Help for interpretation : significant p-value and anecdotical BF

I'm conducting frequentist as well as Bayesian analyses. However, I have difficulties to interpret data. Indeed, results showed significant p-value, but anecdotal BF10 (< 3). Likewise, there are ...
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Augmented Dickey-Fuller test interpretation before and after log transform the data

I have apply the stationarity test to a stock's adjusted price by using the Augmented Dickey Fuller Test with the program R. That is the output from ...
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2answers
32 views

Methods or processes for discovering the major reasons for linear regression coefficients?

Other than inspecting data at random, what are some statistical or graphical processes or methods for determining the major reasons for coefficients in linear regressions? Example Suppose we have ...
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Interpreting a Bayesian Hierarchical model with a center and a difference parameter

Suppose we have a Bayesian Model where the data level specification looks like $$ Y_i \sim Bern(\pi) \\ X_i \sim LogNormal\Big( \alpha_{S_i} + \left[\pi \cdot Y_{S_i} - (1-\pi) \cdot Y_{S_i}\right]\...
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Interpreting significant OR after non-significant effect of covariate

I've done logistic regression in SAS and as one of independant variables I had ordinal variable with 4 levels. The type 3 Wald test was not significant for this variable, but odds ratios were ...
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How to interpret odds ratio output for when there are multiple categorical dependent variables

I am doing a project assessing whether a radiological abnormality called CSP is more common in brains of people with dementia compared to healthy controls. The size of the CSP is important so I have ...
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Firm fixed effects changes sign on coefficient

I am a rookie when i comes to statistics and need some guidance on how to interpret the fact that when I include firm fixed effects in my model the coefficients for one of my explanatory variable ...
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How to interpret an AUC value of 0.55

I have a classifier with an AUC value of 0.55. I understand that an AUC value of 0.5 is essentially a random classifier and not predictive at all. So I am wondering if an AUC of 0.55 is ...
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1answer
29 views

Can we use Shap to interpret output changes?

Can we calculate the difference between Shapley values to interpret changes in the output? More precisely, if we get Shapley values for two different inputs, can we compare them to understand how much ...
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1answer
45 views

Logit regression interpretation

I am conducting a correlation study and have developed a logit model. I would like some help interpreting the interaction variable's coefficient. The coefficient of the interaction term smoking*...
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1answer
104 views

Permanova outputs with or without random factor

My question is similar to this previous post but remained unanswered. I am having trouble understanding the output of an adonis models with and without the argument “strata” in the formula. I want to ...
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Three way repeated measures anova interpretation

I'm doing a three way repeated measures ANOVA (2x2x2), but I don't have a significant three way interaction (see picture). I though I should watch to the two way interaction, but this one is also ...
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Interpreting and troubleshooting nls in R with quadratic plateau model

I am trying to run a quadratic plateau model on some proportion data where values are bound between 0 and 100. I would like some help troubleshooting some errors I have encountered, and correctly ...
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36 views

Interpretation of two-way ANOVA result

does anybody knows how to interpret two way ANOVA result. My data looks like: ...
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1answer
42 views

Interpretation of linear regreassion output when one categorical variable is represented as several dummies

I have a question regarding the interpretation of a linear regression output. In my data I have one independent categorical variable (condition) with five values which I represented as four dummy ...
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One significant simple effect one non-significant simple effect but no significant interaction

There are a lot of questions on CV about this (e.g. here) but I am more interested in how much leeway I have to interpret these things. I conducted an experiment where participants were asked to ...
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Linear mixed effects model. Two independent groups and six measures

I am currently working on a study regarding a psychotherapeutic intervention for anxiety. In my dataset I have: Two groups: experimental vs control 6 time points dependent variable (DV): anxiety I ...
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SARIMA (1,1,1)(0,1,1)12 interpretation

How do you interpretate the dependencies among your observations if your model has the form SARIMA (1,1,1)(0,1,1)12. What conclusion can you draw on the long term dependencies as well as the ...
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1answer
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Can we associate poisson regression coefficients with the degree of harmfulness to the outcome?

I tried a poisson regression model with the count of death as outcome and number of mutations in 4 different genes (G, O, S and V) as predictors and log (number of cases) as offset. The following is ...
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1answer
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Factor included based on AIC from anova, yet no significant comparisons using PostHoc

Using step-wise model reduction I have reduced my full model down (Based on AIC and model comparisons using the anova() function in R. This resulted in the ...

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