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Questions tagged [interpretation]

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

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How to interprete this Quantile Plot?

I did a multiple regression analysis for several production sites with energy consumption as dependent variable, and 2 other independent predictors (Floor space, production). When checking the ...
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XGBoost tree dump contains lots of empty trees

After fitting a regression model using XGBoost, I want to inspect the individual trees that were built. In the resulting table, I find a lot of 0-depth trees, i.e. trees with only a leaf node, and ...
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Different result in sensitivity analysis

the result of the sensitivity analysis when changing the below equation from using market value to book value as the measurement of leverage, Leverage = β0 + β1 PROF + β2 SIZE + β3 TANG + β4GROWTH +...
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OLS - Weekly Rate of Change Trend and Interpretation

I have the following data-set to determine the net difference on a weekly basis between the units sold column. ...
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Marginal Effect

If anyone could help me with this question, I would appreciate. in this model salary = B0 + B 1LSAT + B 2LSAT2 + B3log(libvol) + B4rank + u where LSAT is the average standardized test score for ...
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1answer
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Changes in significance and effect size (though constant SEs) when controlling for a categorical variable. Correlation test & interpretation?

I am interested in the effect of the extend to which an occupation consists of routine codifiable tasks and individual job displacement. I have individual level survey data and use a logistic model to ...
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1answer
50 views

Interpretation of intercept only random effects models

I am estimating the global risk of infection risk in a population of patients, but these patients are clustered in hospitals and wards/departments. If I just take the crude prevalence (infected ...
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2answers
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Interpreting a Tukey - Kramer Confidence Interval Plot

In order to see if any statistically significant differences in the means of 4 particular diets exist, a post-hoc test is conducted i.e. Tukey – Kramer. Could someone please explain to me the plot ...
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Interpreting significant model parameters in less well fitting AIC model

I have two linear mixed effects models (among other models representing competing hypotheses) as coded in R: ...
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Interpretation of fixed effect coefficients from GLMs and GLMMs

I am currently interpreting some glm's and glmm's based on distributions with log link functions (gaussian - log, and negative binomial) and have started going in a bit of a loop regarding the ...
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1answer
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Am I employing and interpreting linear mixed-effects modelling correctly here?

I'm interested in the effect of a categorical variable X (let's say the application of heat) on continuous variable Y (the expression level of a particular gene). I have measurements of Y for samples ...
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Interpretation of interaction terms

I try to improve my statistical knowledge and right now I am working on a regression that contains interaction terms. I am currently investigating the effects of different variables ($a_1$, $a_2$ etc.)...
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1answer
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Specifying and Interpreting Mixed effects logistic regression

I am trying to make sure that I am specifying and interpreting this model correctly. In my experiment, participants take two tests (test1, test2) and answer four questions on each test (it's the ...
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How to read Partial Regression Plot?

Partial regression plot is a plot: • X's: residuals from model X[k] ~ X[-k] • Y's: residuals from model Y ~ X[-k]. But how to read it? What does it show? Can I expect sth and if it appears/does not ...
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Log-linear regression: interpretation of RSE

AIM: To really, really understand what the model outputs mean in a log-linear regression, specifically, how to interpret the residual standard error (RSE). I have read this post but it does not ...
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How do you call line that marks success criterion?

In an example graph bellow, the doted line marks the criterion whether or not the model is successful. Only if all bars/dots are bellow that line, then the model is successful. What about the ...
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Heckman correction for sample selection bias: variable selection and result interpretation

I'm trying to run a Heckman correction in R and I read this excellent answer. Maybe it's because of English not being my native language or my (I was hoping not so poor anymore) statistic skills, but ...
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Is this the correct way to interpret odds ratio for three way interaction?

grateful for any thoughts about this. I'm doing a generalized linear model analysis of a binomial dependent variable (whether the participant gets the correct answer or not). I have three ...
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1answer
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How to interpret categorical variables with many categories logistics regression (SPSS)

I am having trouble finding any resources to help me interpret my logistic regression results. I'm using SPSS, but I don't think that matters a whole lot. I understand the odds ratio concept (as well ...
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1answer
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Interpretation of the Impulse Response Function - VAR Estimation

I have some issues while discussing and interpreting this impulse response function (the graphics analysis). What do they mean and represent economically? What can the conclusions be? Basically ...
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Python vs R vs SPSS giving different Predicted probabilities for logistic regression [closed]

I am converting some of the models from SPSS to either R and Python, even though the model evaluation metrics like Confusion matrix, AUC, Accuracy match across the 3 platforms, the final predicted ...
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Interpreting coefficient estimate of square rooted explanatory variable in multiple regression

I have a made-up linear model, and am interpreting the coefficient estimates. One of my prediction variables is square rooted, and I am struggling to work out an accessible interpretation. My ...
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Interpretation of beta Coefficients if Transformed in a Multivariate Cox Regression [duplicate]

I had to transform some of my primary variables of interest (log transform). Others were left untransformed as they were normally distributed in the sample (Pfat, etc.). To allow for comparisons of ...
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How to interpret a two-way interaction in a 3-way interaction model

I am trying to predict y with variables a, b and c. I have two models and I get different results depending on how I fit my model. Model A is the simpler model, in which I exclude variable c. In ...
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Is it wrong to rephrase “1 in 80 deaths is caused by a car accident” as “1 in 80 people die as a result of a car accident?”

Statement One (S1): "One in 80 deaths is caused by a car accident." Statement Two (S2): "One in 80 people dies as a result of a car accident." Now, I personally don't see very much difference at all ...
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INTERPRET A REGRESSION MODEL WHEN OUTCOME VARIABLE IS LOG TRANSFORMED [duplicate]

I have used a linear model between a log-transformed outcome variable and a group of predictor variables. In this model, the dependent variable is in its log-transformed state, and the independent ...
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Interpretating `allEffects` and missing p-values

I need to run a logistic regression with random effects, about wheelchair users and hinderance due to environmental barriers: ...
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1answer
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Linear Regression For Binary Independent Variables - Interpretation

I have a dataset where I want to predict inflow (people joining a platform) but my all independent variables are binary categorical (0,1). Whereas I want to predict continuous variable (inflow -- ...
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1answer
59 views

R: What does train() do when it calculates ridge regression?

I am running ridge regression on the Boston dataset. There are many write-ups online for how to do ridge regression. I will write up the two methods and then pose my question Initialize with the ...
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1answer
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How to interpret MANOVA results after adding gender, splitting the file?

I am analyzing my 2x3 between subject design with MANOVA in SPSS at the moment. In the main model, there is 2 IV's and 2 DV's. Result of the test is 1 main effect and no interaction effect. In an ...
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Determining the Direction of Eigenvectors in PCA [duplicate]

I'm using R to get the principal components for several datasets. An example result, using prcomp yields: ...
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1answer
26 views

Interpretation of Cox Hazard Model with quadratic term

I am having trouble finding information on how to interpret coxph model hazard ratios with a quadratic term. Some of my variables are continuous count data, whereas others are continuous percentages. ...
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1answer
80 views

regression coefficient in the poisson model [closed]

When we are dealing with count variables we are told not to log transform our data but to instead use a poisson regression. I was wondering.. when it comes Poisson regression, the common formulae is :...
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1answer
70 views

What type of regression should be used in predicting Click Through Rate?

I'm looking for a model to predict CTR (click-through-rate) I have the following data: For each ad I know the number of impressions, clicks and some other attributes (which are mainly dummy variables)...
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261 views

How to interpret a mosaic plot in R?

The mosaic plot shown bellow is the product of this code ...
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Interpretation of parameter stability of regression coefficients and stability of predictions when multicollinearity is present

It is known that when the predictor variables are highly correlated with each other (e.g, correlation coefficient is 0.9) the regression coefficients are unstable as they have high standard errors. I ...
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1answer
62 views

How to interpret interaction dummies of multiple categories and main effect

I have a panel data crosscountry regression with following structure ($y$ as a drug addiction rate of the country, $x$ as number of homeless of the country and $m$ as HIV infection rate of the country)...
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1answer
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Odd SVM output - Need explanation

I built a linear SVM model. My data has 105 subjects and 115 features, which I ordered from least important to most important. I iterated through them to find the f1-score with all 115 features, then ...
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Dealing with non-linear variable in multiple linear regression model [duplicate]

I have a multiple linear regression model which should explain the variation store price elasticities using consumer characteristics of the market area surrounding a store. Therefore, my dependent ...
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1answer
48 views

How can I interpret natural logarithm transformed value in the binary regression result

I have the binominal regression output result using R programming and x3 below is the natural logarithm of the data which is large. The x3 before imposing the natural logarithm has the following ...
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1answer
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Impulse response: Interpreting shock and response for log-variables

I have a question related to the interpretation of Impulse Response Function (IRF) functions. Assume we do have two time-series that have been both log-transformed and are stationary. When applying a ...
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2answers
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Beta regression - interpret coefficients using loglog link

Although a number of similar questions (some of them duplicates) have been asked around the interpretation of the coefficients from a beta regression, these seem to be focused on models that have used ...
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Building and interpretation of regression models [closed]

Coming from the world of classification I struggle to understand how to properly build and interpret regression models. Some tutorials only build models on the training data to make conclusions. ...
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Best textbook on philosophical background of interpretations (for beginners)

I'm looking for the best textbook teaches basics of statistics for a general researcher (undergraduate) without totally ignoring the mathematical proofs and theories while the main emphasizes is on ...
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How to interpret the interaction between multicategory categorical variables? [duplicate]

My outcome of interest is "disease or non disease". I have two categorical variables A (age group in years- 1-5, 5.1-10, 10.1-15, 15.1-19) and B (place of residence- Ba, Bb, Bc). I have fitted ...
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Using a bi- variate Vector Auto-regressive model on 2 assets

I have two assets in a time series with serial auto correlation. I want to find the relationship between them. That is, if Y1 goes to up 10% Y2 should move up 5%. I would also like to know, if Y1 is ...
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1answer
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significant Interaction between a significant discrete variable and non significant continuous variable

In my dataset, I have to test the effect of humidity on the height of plants. However, we have an extra effect which is nitrate on height. Each plant had a nitrate measurement but we had one group in "...
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1answer
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Possible to have main effects and interaction in 2-way ANOVA?

In a 2 way ANOVA, can you have a significant main effect for each IV and an interaction? Why should caution be used when interpreting main effects if you have an interaction?
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1answer
36 views

Binary classification and target-label proportion

Suppose that we have a binary classification problem with a vector y = [1 1 0 1 0 0 1 ... 0] having the proportion: ...
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How to Interpret the result of generalized linear mixed model?

I ran a generalized linear mixed model using lmer in R, and I'm struggling how to interpret the result. The response variable is a result of 25 consecutive binary choices. The point where I'm stuck is:...