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Questions tagged [interpretation]

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

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ISLR - Interpretation of Confidence Interval in Linear Regression

I'm reading about Linear Regression in Introduction to Statistical Learning (Chapter 3) I see the confidence interval defined as A 95% confidence interval is defined as range of values such that ...
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How do I interpret the random effect in my mixed-effects model?

I have run a linear mixed effects model with individual as a random effect. I have three separate measurements of each individual. The random effect is significant, ...
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Multilevel analysis - interpretation not significant at level 1

I'm doing a multilevel analysis for the first time for my master thesis. The goal of my study was to create behaviour change through an intervention. Participants are measured for behaviour at 3 ...
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Violinplot vs. permutation importance: interpreting differences

I'm analyzing the Titanic dataset, and I've been trying to understand the predictive power of the Age feature relative to passenger survival. My intuition is that younger people had a higher chance to ...
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1answer
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Help in Binary logistic regression

I am doing an analysis of my big data on diabetic patients (n= 168615). The dependent variable is HbA1c blood test. I want to run binary regression on two groups of the dependent variable (HbA1c ≤ 7% ...
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Non-intuitive results from glm

I conducted a reciprocal transplant experiment to look for local adaptation of aphids populations on their host tree populations. I have 3 populations of both aphids and trees (and each aphid ...
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Interpretation of Nominal Scaling in PLSPM

I used nominal scaling in PLSPM in R and I am uncertain how to interpret the results. I made a minimal code example from the satisfaction data set and made up a nominal value for color (red, blue, ...
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Interpreting a 2 x 3 design with two empty cells

My psychology grad student and I have a study conducted in three different countries using two different method variants. Neither country nor method variant is a predictor of focal interest, but might ...
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Interaction between 3 categorical variables - one with multiple levels

I am looking at how a continuous variable is affected by 3 categorical variables specifically if there are any interactions between two of them or all three of them (Yes I understand there are post ...
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Cross validation for timeseries interpolation

I am trying to calculate the MSE from interpolating few data points obtained from a sensor. I am considering 100 datapoints and applying 10 fold cross validation to it. For explaining what i am doing ...
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Interpretation of Betas and alphas in a VECM

Imagine I set up a VECM where there is only one cointegrated vector among three variables A, B and C and the vector of betas B1, B2 and B3 is (1,-0.25, -0.4) and the alphas a1, a2 and a3 are -0.5, -0....
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Interpretation of NN output?

I am using a standard NN for a classification task. The ouput is a score ranging from 0 to 1. Seeing different techniques to go back to a probabilistic model, I wonder how to interpret the score and ...
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How to interpret impulse response analysis in VAR when using standardized variables?

How to interpret impulse response analysis when using standardized variables (ie., subtracting the mean and divide by standard deviation) in vector autoregression analysis? The reason why I ...
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interpreting coefficient on the interaction term

if i have an equation like this $$\log(wage)=\beta_0 + \beta_1*height + \beta_2*weight + \beta_3*(height*weight) + \beta_4*SAT$$ and i am having a problem solving this question. "interpret the ...
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How to interpret coefficient if the independent variable has negative values?

I have a simple OLS regression: Y=a+B*X+epsilon X is the percentage change in house prices and has negative values (except in the 99th percentile). If the sign of 'B" coefficient is positive, how ...
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Difference between null and saturated log-linear models

I have data from an experiment testing the number of 'cases' at each of three measurement points (0, 12, and 24 weeks). I am interested in whether the proportion of cases across these measurement ...
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Model Not Performing Well On Validation Data - Customer Attrition Modeling

I am modeling customer churn for the online subscription. I looked back 90 days into customers’ data, using number customer watching behavior etc. I get a pretty strong model based on test data. <...
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Coefficient Interpretation when dependent and independent variables are percentages

I have built a linear mixed regression model with fund returns (measured in percentage ie. 0.01 denotes one percent) as the dependent variable. For the independent variables I have percentage level of ...
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What statistical parameters to use to spatially compare rasters?

I have at my disposal four models (Model 1, Model2, Model3, Model4) that simulate a parameter (the density of drainage) in a 7.5 'grid (about 14 km * 14 km) on the same domain (watershed) confer ...
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How to interpret Emmeans results

I have used the emmeans() package to calculated the difference between the difference of estimated marginal means. I did this by first calculating the EMMs of location|treatment, and then the ...
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Interpretational value of regressors affected by extreme multicollinearity

Say I have a regression where pairwise correlation between two regressors is close to 1 (e.g. 0.98). In some estimation methods (e.g. OLS) this would immediately induce inability to estimate/...
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How to interpret coefficients of angular terms in a regression model?

Given the model $$Y = a + \beta_1 x_1 + \beta_2 x_2 + \beta_3 \cos(\angle) + \beta_4 \sin(\angle) + \text{ errors}$$ resulting from a negative binomial regression, how can I explain the $\beta_3 \cos((...
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42 views

Quadratic term of standardized predictor in logistic regression

A random intercept logistic regression is performed to assess the association between $Y$: Disease (Yes/No) and Standardized Predictor($X_1$) adjusting for control variables ($X_2$, $X_3$) based on ...
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Interpretation of removed continuous variables in regression due to linear dependence

I have created a standard OLS regression model to estimate the House Price and one group of variables describe the age group percentage of population in a particular neighborhood (ranging 0 to 100). ...
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Why protect “general factor”s in factor analysis?

My Multivariate Analysis textbook states that As we have noted, a general factor (that is, one on which all the variables load highly) tends to be "destroyed after rotation." For this reason, ...
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Interpreting Multinomial Regression output using R nnet

I am looking for some advice on how to interpret and report my multinomial regression analysis. I cannot find a clear answer online I have conducted a multinomial regression. I have a dataset with ...
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Question about interpretation of a fixed effects model

I am trying to see the impact of a group of similarly-minded policies and programs which were introduced at various dates in various Canadian provinces on a measure of student satisfaction. I plan to ...
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Interpreting R nnet output Multinomial Regression

I was wondering if anyone would be able to help me interpret my results. I am struggling to find anywhere online which it simple to follow. I have conducted a multinomial regression. I have a ...
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Trouble interpreting GLM Quasi-poisson

I'm doing a count model on the rate of exonerations over prison admissions before and after 1992. I understand that Year > 1992 is the change in intercept post-...
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1answer
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Interpret contradicting output of lmer model with categorical interaction in R

I am struggling to interpret my output in R. It does not make sense to me. I first regressed participants' ratings (= value) on manipulations (...
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Why do people use PCA when it has so many issues?

(This is a soft question) Recently I'm learning Principal Component Analysis, and it appears to have a lot of issues: You have to transform the data to roughly the same scale before applying PCA, but ...
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Interpretation of ARDL coefficients under de-trending

Consider the ARDL(1,1) model: $y_t=\beta_1y_{t-1}+\beta_2x_{t}+\beta_3x_{t-1}+\eta_t$. Assume that I know $x_t$ is stationary around a linear trend: $x_t=\delta t+z_t$ Then: $y_t=\beta_1y_{t-1}+\...
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Cronbach's alpha interpretation - dichotomous data

I have calculated Cronbach's alpha in R using the psych package and I am trying to interpret them now. I want to properly understand this, as it is part of my ...
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Is my interpretation for Wilcoxon Signed Rank test correct?

I ran a wilcoxon signed rank test on paired samples where the outcome variable was a test score. The samples were paired by as siblings (younger and older sibling). I have a problem interpreting the ...
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Self-calibrate sensor measurements with linear regression

I have measurements of 3 sensors (A, B, C) over variable W. Reproducible code. The sensors may be wrongly calibrated so before analysing the data I correct the values for each sensor. The correction ...
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Ceteris Paribus interpretation if it isn't possible in reality

Does it make sense to include both respondent's age (in years) and respondent's partner's age (in years) in a simple linear regression with cross-sectional data? The outcome variable, for example, ...
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How to interpret the results of GLMM? [duplicate]

I have run a GLMM model using function glmer of package lme4. But I do not know how to interpret the results. The summary of the model is: ...
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1answer
52 views

Interpretting Cox Regression ANOVA

I'm having difficulty interpreting the results from anova() in the rms package. My confusion arises from what information the <...
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1answer
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item-total correlation vs. inter-item correlation

I am assesing the reliability and validity of an 16-item multuiple choice test supposed to test language skills. Cronbach's apha is "questionable" with .65. I am having troubles interpreting the ...
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How to interpret coefficient when the dependent variable is a percentage change?

I am having some trouble interpreting my regression output. My model is LN of transaction volume = alpha + $\beta_1$_RER + control variables RER is defined as the change in the average exchange rate ...
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1answer
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Interpret a multiple linear regression when Y is log transformed [duplicate]

I have the following multiple linear regression model: Log(y) = B0 + B1X1 + B2X2 + B3x3 + e. X1 is a dummy that can take 0 = male and 1 = female and X2 and X3 are continuous variables. I am not ...
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What is the geometric meaning of correlation matrix

I recently read this article explaining the geometric meaning of covariance matrix. http://www.visiondummy.com/2014/04/geometric-interpretation-covariance-matrix/ My question is : is there an ...
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1answer
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How to interpret $F > F_{\rm crit}$, but $p > \alpha$

My F is greater than F critical, while P-Value is 0.99 greater than alpha (0.05) which one should I consider the P value or F statistic, rejecting the Ho: I am confused. Edit: $$ \begin{array}{ccc} \...
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Interpretation linear mixed model with interaction

I'm doing linear mixed model with an interaction between the time and my exposure. The fixed effects look like this : Y ~ T + T*GRP + X with T the time, GRP the exposure and X the adjustements ...
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Wilcoxon signed rank test - help on interpretation of pseudo median

I am performing a Wilcoxon signed rank test in R, for two paired samples, where I have used the following: ...
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3answers
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Dunn's test: is it appropriate to use p-values to interpret relative between group similarity

For a set of data that I collected, I used the Kruskal-Wallace test to determine whether there were between-group differences in the parameter I measured. It returned a significant result, so in order ...
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Examples of how to report results of a GLS

I am looking for some good examples in the primary literature where a GLS was used. I am pretty new to mixed modelling, and while I got it working, I am struggling at the write up stage. Google ...
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Regression analysis Interpretation [duplicate]

How do I interpret these results? Specifically, what does this regression analysis show us? How do we determine which values are statistically significant? I don't have problem with the coding. I just ...
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Interpretation of a brier score

Suppose that multiple brier scores were computed for two models $A,B$ and the density of the scores plotted as Where the average of $A$ is less than $B$ What would the interpretation of this be? ...