Questions tagged [interpretation]

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

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Correlation of outputs in Bayesian hierarchical regression

I am using a Bayesian hierarchical regression (stan_lmer in rstanarm) to do a MCMC sample of the posterior for the mixed effects model y ~ A * B + (1|C). Although I have done other Bayesian ...
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1answer
23 views

Interpreting Y Outcome Variable when primary X is a proportion/ratio

I am currently starting with a simple regression whereas my outcome Y= raw student scores in an exam, while my X variable of interest is the ratio of substitute teachers in the school. I would truly ...
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Interpretability of the lasso coefficients

I have implemented the lasso method to a data set with 1000+ variables. I have reported the MSE value on the test set and the number of nonzero variables. I need to report the interpretability of the ...
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9 views

Multiple changes in statistical significance of predictor across steps in hierarchical regression - your insights please?

I have three IVs (A, B, C) and have entered them in three separate blocks (steps) in regression using SPSS. In step 1, Variable A independently predicts the DV. In step 2, after the addition of ...
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30 views

ARMA(-X) model with exogenous covariates interpretation

Let us assume that $Y_t$ can be described with an ARMAX process, including an exogenous covariate $X_t$, of the following form: \begin{equation} log(Y_t)=\phi_1log(Y_{t-1})+\phi_{12}log(Y_{t-12})+\...
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MANOVA output table interpretation

I am running a repeated measures manova on the effect of country (2 levels) on color-emotion interpretation ( I have 5 different colors, and 3 different emotions). I have never run a Manova before and ...
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17 views

Interpretation lm R independent categorical variable

I understand how to interpret dummy variables etc., but I have got trouble of interpreting a independent categorical variable. This is my output: ...
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16 views

How to interpret meta-regression results with significant moderators but no significant overall effect?

I'm conducting a meta-analysis where I have a given set of studies, each with multiple effects (correlations in my case) I'm interested in. Each correlation coefficient answers a different research ...
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24 views

Main effect significance disappeared after adjustment, but interaction still the same?

Hi I am confused by a result from my analysis. Could someone tell me is the situation possible? How can I interpret it? I have two linear mixed models, the data was from a family-based study. The ...
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37 views

Intercept with parameter estimate 0.0000 and p-value 1.0000. Interpretation/meaning? [closed]

I get the following information from an estimated model: ...
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28 views

Why am I seeing 0 degrees of freedom when testing main effects using lme4, but see 1 df when testing interaction?

So sorry if this is a dumb question, but I've been searching around and can't figure out what's going on. I'm running a mixed effect model with 2 fixed effects and random intercepts, as shown below. ...
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Interpreting Ordinal Independent variables when dependent is binary in Logistic Regression

I've searched the web deep and wide for an answer to my question. But there is little consistency to be found, which of course makes me very confused and thus leads me to asking here. I have a binary ...
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1answer
19 views

Getting unexplained negative coefficient in Logistic regression using SAS

I am using SAS in order to predict the probability that a borrower will default on his loan based on his age group. The variable age is divided in to 4 age groups. group 1 has 1315 customers and out ...
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1answer
102 views

Understanding and interpreting quantile regression

I am trying to better understand what quantile regressions are and how we can interpret them. I know that quantile regressions are used to model a specific conditional quantile $\tau$ of a response ...
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1answer
35 views

Ways to state relationships like “A explains x% the variation in B” but when variation is not present like for non-parametric tests

Example: Income explains 70% of the variance in expenditure. Variation in driving speed can be explained by drivers' age. How does one make such statements if the test used is a non-parametric one? I ...
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28 views

How to interpretate my solutions? (t-test, corelation coefficients) [closed]

I am pretty new in R and I do not know how to interpretate my solutions. I have meteorological data (daily temperatures) of two meteorological stations in the same city. I did t.test, wilcox.test and ...
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29 views

How should I label and interpret cumulative probability graphs

I've used R's empirical cumulative distribution function (ecdf) to generate a chart that shows the cumulative probability of some cost data. I want to know if the heading of the chart is correct or ...
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17 views

Interpretation of comparation of two dependent variables which have identical values

In theory I know statistical terms such as median, arithmetic mean, hi-square, etc., but how to interpret these terms if they are numbers like in the example. what does that mean ? ...
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32 views

Correct interpretation of coefficient estimates from GLM on binary outcome data [duplicate]

I'm currently analysing an experiment where animals were presented with a stimulus under two different treatments (Po & Br) ...
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10 views

Interpretation of Adjusted Predictions Contrasts (Margins)

I would really appreciate some help with interpreting results for contrasts of adjusted predictions (I use Stata 15, margins command). I run an experiment and fitted a regression model comparing the ...
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36 views

Interpret Interaction Effects in Negative Binomial Regression

I have two questions regarding the interpretation of interaction effects in a negative binomial regression model. The model uses the number of people arriving at a hotel per hour as the dependent ...
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1answer
42 views

Interpretation of mixed-effects versus GEE poisson/logit regression parameters

What's the difference in the interpretation of the model parameters (intercept +slope) in the mixed-effects model and GEE model for poisson and logistic regression?
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11 views

What does it mean when there exists a treatment group by time effect?

In longitudinal analysis, mixed-models, gee, what does it mean when there's a group by time effect as opposed to only a time effect and treatment group effect? What does treatment group effect signify ...
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What's the rationale behind a normality test followed by a $t$-test?

Correct me if I'm wrong, but from my understanding, the standard procedure of testing whether data from an unknown source have a specific mean is to (a) perform a normality test to see if the data are ...
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1answer
25 views

Interpretation question about between-subjects effects in multilevel modeling

Specific question that (of course) comes from a reviewer. In multilevel models with: Level2=individuals Level1=within-persons Is it fair to say that, since these models explicitly estimate Level 2 ...
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21 views

Can I use RMSE as a percentage of error

I'm hoping someone can verify my assumption. I am building a regression model against an outcome variable which is a percentage. After tuning, the model outputs an RMSE estimate which I've looked to ...
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19 views

Regressing predictions on corresponding observed values, does that make any sense? If so, would this be a reasonable proposition?

I have a list with around 100 different dependent variables, for each of them I have around 35 observed values with 12 explanatory variables (it’s the same 12 explanatory variables for all dependent ...
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27 views

What I can know about my probability distribution from the below hypotesis test table?

I have computed the distribution fit test of my probability distribution i got it 0 , then I have tried to creat the hypothesis data for that distribution I have got the below table , Now am not ...
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Interpreting standard errors of linear regression with logged dependent variable

I'm running a linear regression with a logged dependent variable. This is the only variable in the model that is logged. For interpretation, I've exponentiated the coefficients, subtracted one, and ...
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1answer
38 views

Interpretation of learning curves - large gap between train and validation loss

I am trying to train a neural network to predict the quality (good or bad) of produced parts based on the parameters of the production (31 parameters). The network is trained with 121620 samples and ...
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22 views

how to interprete this acf and pacf plots

I am trying to interpret ACF and PACF plots correctly, after simulating a 500 long chronological serie following the MA(2) model, I got these ACF and PACF plots , This this mean MA(2) Model is ...
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7 views

Feature importance with nested cross-validation - iml

I am using nested cross-validation to get performance estimates in a classification task. I would like to compute feature importance using permutations with the iml ...
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32 views

interpreting RMSE when variables are transformed and compare it with no-transformed variables model

I want to compare different models for biomass estimation using different dasometric variables of trees. To achieve this I am using three models with the original variables and three models using ...
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1answer
25 views

Autocorrelation differences

Though I know the key definition of autocorrelation. How can I define the difference of autocorrelation in case of simple regression model and multiple regression model?
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1answer
10 views

Interpretation of (simultaneous) confidence band against fitted values in multiple regression

In a homework question, I am asked to interpret a figure of the confidence band and simultaneous confidence band of 95% confidence level plotted against predicted values. The confidence bands are ...
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23 views

Need Help in interpretation of results for random forest model

I was working on a binary classification problem where the ratio of Y(Unprofitable)/N(Profitable) is 52/148, in a train set with a sample size of 200. I got expected results with random forest model ...
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21 views

Why RANDOM noise images always predicted as BIRD?

Say I have fine-tuned a 10-classification ResNet18 network on CIFAR-10 and the accuracy on validation set is about 93%. However when feeding into 5000 random noise images (Gaussian noise with the ...
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35 views

Johansen-Procedure Interpretation (ca.jo)

I am trying to run a Johansen-Procedure in a set of macroeconomic variables (GDP, credit outstanding and industrial production). I am working with them in level. How should I interpret the following ...
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Interpretation of “show as index” in Excel Pivots

Researching Excel Pivot table functions, I've stumbled upon "show as index" calculation and found almost no information about it. My problem is the interpretation of values it produces, and eventually ...
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1answer
46 views

Interaction is not significant in ANOVA, but significant in Regression, which is nonsense

Variables that I have: randomization (categorical): control / low / high sesdummy (categorical): low / high fairness (continuous) I wanted to see if there was an interaction effect between two ...
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1answer
160 views

Logistic regression - what do parallel slopes mean?

I have fit two logistic regression models in which the probability for a student to succeed a course is fit against how many hours he/she studied, where the students of group one used one type of ...
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1answer
85 views

Interpretation and Prediction in Longitudinal Models with an Interaction between a Time-Varying Predictor and Time Itself

I am trying to develop my intuition about how to interpret an interaction between a time-varying predictor and time itself. I have several years of routinely collected outcomes data from a drug and ...
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1answer
42 views

Problem in interpretation of result of Pearson chi-square?

We are conducting research to examine a relationship between some triggers and migraine with aura. the sample obtained by a questionnaire to and the sample classified into two categories (diagnosed ...
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1answer
33 views

How to interpret Linear regression model with dummy variable?

I am trying to run a linear regression with a dummy variable on NBA statistics with NBA Salaries as the $y$ variable, and different performance statistics as the $X$ variables. I have already ran a ...
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24 views

How to interpret Linear Regression Summary with Dummy Variable R

I am trying to run a linear regression with a Dummy Variable on NBA statistics with NBA Salaries as the y variable, and different performance statistics as the x variables. I have already ran a linear ...
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12 views

Interpreting a Dependent Variable that is Standard Deviation of Regression Residuals

I have a regression (OLS) output and was hoping to get some suggestions on how I might be able to interpret the coefficient using Stata or SAS. The dependent variable is ‘standard deviation of ...
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1answer
51 views

Interaction of Time-Varying Predictor and Time: How its inclusion changes the meaning of coefficients

I am interested in how an interaction between a time-varying-predictor and time changes the interpretation of other coefficients in a model. I am modeling the effect of amphetamine-type substance (...
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1answer
15 views

Interpretation of Clustering Results

We are trying to use a clustering technique to isolate and analyze bugs when the software is in use in the production system. Here, features of the data are whether a user used certain features/...
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1answer
28 views

glm with two interactive factors

I've run a glm (gaussian family) with a*b as independent variables. At first, I run two separate models (like glm(y~a) and ...

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