Questions tagged [interpretation]

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

Filter by
Sorted by
Tagged with
2
votes
1answer
14 views

How to interpret main effect with two interaction terms?

I have three variables in a multilevel model: Relationship Status (0 = single, 1 = not single) Living Arrangement (0 = alone, 1 ...
0
votes
2answers
19 views

Interpretation of Model with Continuous Interaction Term

Imagine a variable $y$ across $i$ sections, i.e. $y_i$. For every $y_i$ there exist a $x_{1,i}$, a $x_{2,i}$ and a $x_{3,i}$. However, the following relation exists: $x_{1,i} *x_{2,i} = x_{3,i}$. For ...
1
vote
1answer
38 views

Regression methods for different sizes of $n$

I thought about something interesting today. Suppose we have a regression problem where the relationship between the response and the predictor variables is approximately linear. Let $n$ be the ...
0
votes
0answers
29 views

How to interpret interaction effects when main effect is not significant?

I ran a linear mixed model in R and included an interaction effect between two predictors. The main effect was not significant, but the interation effect was. Is it possible to interpret this ...
0
votes
0answers
14 views

Problems with interpretation of RStudio ordinal regression output

I'm new to the community (and to RStudio usage in general). I have some doubts interpreting the results of an ordinal regression analysis I've implemented in RStudio. I have 2 dependent ordinal ...
1
vote
0answers
23 views

Inconsistent/ competitive mediation vs. suppression? Positive indirect, negative direct and positive total effect

I am unsure about the adequate terminology for describing my results from a simple mediation model (one mediator), I have conducted using Hayes’ PROCESS macro for SPSS. For the sake of simplicity, let’...
2
votes
1answer
24 views

Interpreting effects of linear model

In Alan Agresti's book, Foundations of Linear and Generalized Linear Models (section 1.2.3), letting $y_i$ is a college student's math test score, $x_{i1}$ the number of years of math education, $\...
0
votes
1answer
20 views

Interpretation of location-fixed, fixed and random effects

I am really confused on how to interprete these 3 different models. Can anyone explain this to me with the help of this little example maybe. I was thinking that i would test the relationship between ...
0
votes
0answers
9 views

How to interpret a specific data transformation?

I came across this specific data transformation in the context of a physics application, which by itself is rather complex and hence out of the scope of this question. However since this ...
0
votes
0answers
11 views

Permutation Importance disagrees with Accumulated Local Effects plot

I am trying to analyse how my model (sklearn Logistic Regression classifier) is making its predictions. I am using sklearn.inspection.permutation_importance to run permutation importance and the ...
0
votes
1answer
19 views

Interpretation of conditional Granger results

I have a question about the Granger package. How are the numbers obtained in the frequency and causal output of the conditional Grangers interpreted? Thank you.
0
votes
1answer
20 views

Interpreting multiple line plot

I am writing a thesis about predicting different series in the FRED-MD database. Before estimating the proposed model, I make the following line plot in R , it presents how the variables in the first ...
2
votes
0answers
13 views

Multicollinearity and Partial Dependence Questions

Assume I build a binary classification model to predict p(y=1) from {x1, x2, ... x10} For now, assume that model could be a GBM, RandomForest, or Logistic Regression. Also assume that all of the ...
1
vote
0answers
9 views

How to Interpret Confidence Interval ILSR Ch 3 Q10g [duplicate]

Using the Carseats dataset in R, predicting the Sales of carseats (Unit sales (in thousands)) using price and US (sold in US, not sold in US). How would I interpret the confidence interval in words? ...
0
votes
1answer
11 views

Various variable types in regression

so I have data containing various variable types and I would like to fit a regression model. However as the types of variables are different, I do not know how to deal with it: I mean, there are ...
0
votes
0answers
26 views

Am I interpreting predicted Poisson regression correctly?

I have a dataset with time to outcome (t3) and the outcome (mmop_num) plotted by Poisson regression using the predict() function in R. (1) Am I correctly interpreting the y-axis as the likelihood of ...
1
vote
1answer
18 views

Understanding the output layer formation of an LSTM unit in Keras

I'm struggling to get my head around how the output shape of an LSTM layer formed. How is the output unit value physically implemented in the layer? For example, if I have an input shape of (128 x 6) ...
0
votes
1answer
18 views

Interpretation of binomial GLMM with interaction fitted with glmer

I have a glmer model from the R package lme4 with a binomial distribution and I was wondering whether I am interpreting the ...
5
votes
3answers
336 views

Interpretation of coefficients in a poorly performing GLM

Suppose that I have trained a logistic regression model on a certain dataset, and I wish to interpret the coefficients of this model. Does it make any difference on the validity of the interpretation ...
1
vote
1answer
21 views

Custom threshold in logistic regression and interpretation of probabilities

Let's say I choose threshold in logistic regression equals to $0.8$. If it is lower then class is $0$ else is $1$. Then, how do I interpret the outcome on test point $x$, $h(x)=0.6$, where $h$ is my ...
0
votes
1answer
13 views

interpreting interaction terms in non linear regression

I have a hard time interpreting my coefficients in my nonlinear regression. In particular, I have a negative binomial, with two dummy variables: Treatment and (being) foreigner, outcomes are count ...
0
votes
0answers
7 views

Margins graphs (predicted values & marginal effects) are negative (below 0) when I graph my cox survival analysis

I am looking at graphing an interaction in cox survival analysis. The data is setup for the Anderson-Gill multi event survival analysis. The interaction of interest turns out negative and significant, ...
0
votes
0answers
9 views

Detection Function in Distance Sampling, R

I'm fitting detection functions on whale data using the ds function in Distance package in R. I am having difficulty choosing the best detection function to then use in a density surface model. I ...
1
vote
2answers
36 views

Why do I get strange results from the Kolmogorov–Smirnov two sample test?

I'm trying to understand the output of the Kolmogorov-Smirnov two sample test. I have two columns, test1 and test2. I'm having some difficulty in understanding the interpretation of the ...
0
votes
0answers
11 views

Count Time Series Following Generalized Linear Models - Questionable Intercept

I am attempting to appropriately examine the relationship between a count time series variable (outcome) and a continuous, mean-centered time series variable (predictor). ...
1
vote
0answers
14 views

In mixed three-way ANOVA, how to interpret the 2-way interaction when there is no 3-way interaction?

I'm doing a mixed three-way repeated measures ANOVA. I have a significant two-way interaction A:B (with no significant three-way interaction). My between factor is A (3 levels) and within factors are ...
0
votes
0answers
21 views

Evaluating diagnostic tools predicting multiple conditions

I'm dealing with a problem I've never tackled before. I have to compare two diagnostic tests, which are used to predict the presence of a certain number of conditions, all belonging to the same family....
4
votes
1answer
105 views

What can I validly conclude about a variable that becomes significant and switches sign when other variables are included in the model?

I have a dataset dat where each row represents a soil sample, with independent variables chemical measurements a, ...
2
votes
2answers
117 views

Can a variable have a significant effect on an effect that is non-significant itself?

Let's say I estimate $d_t = b + \epsilon_t$, where $d$ stands for some difference between two variables and $b$ is a constant. I estimate this model $i$ times for $i$ different subjects (say firms, ...
0
votes
0answers
11 views

How to measure a deviation from the theoretical model in terms of both frequencies and probabilities

Consider for instance, that I perform an experiment that consists in observing events. Let there be $N$ different events in total. I have a theoretical model that tells me which events should appear ...
0
votes
0answers
19 views

Interpretation of ordered logistic regression (with data set)

This is an add-on question to this question: Deleting outliers based on diagnostic plots is not working as intended (regression model) - data added Reading prior question is not at all relevant for ...
0
votes
0answers
11 views

Can I compare the probability scores across multiple independent models?

I have a developed a set of 4 independent binary classification models utilizing L1 regularized logistic regression. Each model has a different target variable, representing whether or not a consumer ...
0
votes
0answers
13 views

What is the difference between a class activation map and a saliency map for convolutional neural networks?

I am researching attribution methods in computer vision literature to better understand how a CNN model arrives at its predictions. I have come across the terms ...
0
votes
0answers
22 views

Reporting estimates in mixed models

this may be a stupid question, but I have run a mixed effects model in R and the estimates, Standard Error and dfs are are all numbers such as -2.115e-01. I've only seen these in p-values before and I'...
0
votes
0answers
15 views

How to interpret the intercept of a multiple regression analysis after accounting for continuous and categorical variables

I'm attempting to run a regression analysis on a continuous outcome variable y, using a primary predictor variable that represents a treatment (...
0
votes
1answer
17 views

Interpreting Regression Results with Ratio Independent Variable

I am running a simple regression as part of an exploratory data analysis with my dataset, where my outcome is the number of children that an individual has and my primary X is the average change in ...
0
votes
0answers
16 views

Can the Poisson-Binomial distribution be used in a generalized linear modeling framework?

I recently came across the Poisson-Binomial distribution while doing some research for a modeling problem I have. I am trying to model the spread of an invasive species where I have county level ...
0
votes
0answers
27 views

Interpreting glm intercept and estimates

First off I will state that I have looked at similar threads (such as this (referenced later) and this) yet I still don't fully understand. My situation is as follows, I am trying to report the ...
0
votes
0answers
14 views

How to get the standardized z-statistic from dunn.test-package in R?

Sorry if this is a trivial question, but I couldn't find anything on it. I am running a Dunn-test with the dunn.test-package: ...
0
votes
1answer
14 views

Interpretation when Information Criteria and F-Test Disagree

I used SPSS (v. 25) conducted a pair of nested multtlevel models (aka linear mixed models) where the outcome criterion is itself also nested within participants. I followed Singer and Willett's (2003) ...
0
votes
0answers
22 views

How to approach Creating an ARIMA model with this data

I'm currently working on my first machine learning problem in a workplace and have some time series data going back for two years from January. This data is call counts per day at a call center I work ...
0
votes
0answers
19 views

How does adding a non-significant interaction render main effects non-significant?

I am fitting an accelerated failure time (AFT) for survival analysis. I have a continuous predictor, CTA_chrX, and a categorical predictor, metastatic (which can be yes or no). I fit two models: <...
1
vote
0answers
22 views

Interpretation of directedness in ANOVA

As far as I know, ANOVA results can be interpreted with respect to mean differences between 2 or more groups. But, we can not make any inference on which mean is larger or smaller in a statistically ...
2
votes
1answer
50 views

Compare/Interpret t-statistics

I've a table as the following that contains the results of one sample t-test on four independent collections for the null hypothesis that the mean is 0: ...
3
votes
1answer
98 views

Interpretation of Weibull Accelerated Failure Time Model Output

In this case study I have to assume a baseline Weibull distribution, and I'm fitting an Accelerated Failure Time model, which will be interpreted by me later on regarding both hazard ratio and ...
1
vote
0answers
13 views

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 ...
0
votes
0answers
12 views

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 ...
0
votes
0answers
9 views

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 ...
2
votes
1answer
18 views

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 ...
0
votes
0answers
12 views

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 ...

1
2 3 4 5
34