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Questions tagged [interpretation]

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

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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? ...
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Two-way mixed ANOVA - do I need to transform pretest AND posttest

I am conducting a two-way mixed ANOVA on intervention data from a randomized controlled trial (i.e., my within-subject factor is time, and my between-subject factor is treatment condition). My ...
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1answer
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Year of intervention seems a better predictor than type of intervention (which is dependent on the year itself)

We have a small(n = 19) non-randomized pilot clinical study in which we compare two types of surgical procedures on various outcomes. The choice of which procedure was to be performed depended ...
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1answer
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Multiple regression with a odd-numbered Likert items

In the questionnaire, individuals were asked to pick from an odd number of options (5 or 7) how much they agree with the statement (from completely agree to completely disagree). Now, if there where ...
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Stationary data, ADF test and interpretation, first difference ,OLS regression?

I am currently working my master's thesis and am studying bitcoin price determinants using OLS regression. My statistics level is quite beginner level. I have gave stationary tests a go however I am ...
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Interpretation for Chi-Square Test for Independence in A/B/n testing

I am testing the results of a marketing campaign which involves randomly splitting a group of people into 4 treatments. One group acts as a control and is shown no advertising, the other 3 groups are ...
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Interpretation of ARDL coefficient when lags switch signs

I usually see that when in an ARDL model lags for a particular variable are significant and consistently positive it implies that the series is persistent. The intuition is that if the coefficients ...
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Comparing Density Plot height (MachineLearning Classification)

I am working on a binary Machine Learning classification problem. My classifiers are really performing poorly because distribution of the 1 class is very similar to 0 class (dataset is imbalanced, 1 ...
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Use Shapley Values for explaining whole Data Frame instead of a Single prediction

I am working on a Machine Learning model. One of the requests is to explain the models 'decisions' to the business. Therefore I am using Shapley Values (Game Theory). I found an interesting example ...
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Query regarding analysis of regression output

I have made 2 models from based on some social media data.First one is with outliers and the 2nd one is without outliers. ...
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Three-way interaction: slope difference test if simple slope is insignificant

I am currently conducting a three-way interaction (linear OLS regression) with three continuous variables. My dependent variable is also continuous. The three-way interaction term is significant (yes,...
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Interpreting the relationship between my instrumented variable (X1), X2, and Y (IV regression)

I have run an IV regression with a dichotomous outcome (Y) and my endogenous ("instrumented") regressor (X1) is also dichotomous. I am assessing whether continuous variable (X2) is moderating the ...
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1answer
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Interpreting coefficients and understanding logistic lasso

In lasso regression, increasing the regularisation strength/shrinkage penalty eventually forces all of the regression coefficients to zero. In this instance the regression is logistic. The plot shows ...
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Interpretation of coefficients for DV in shares

I very ensure about following interpretations, hence I would be very thankful for any advice. Let's say that my dependent variable is a percentage of managers in total employment ((managers employed ...
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An alternative definition of the $p$-value

As we know, $p$-values are uniformly distributed under $H_0$. This urges me to ask if this constitutes a valid (re-)definition of the $p$-value. $p$-value - A statistic with a uniform distribution ...
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2answers
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How to interpret $P(\bar X \geq 36.2) = 0.0023$ when population distribution is skewed right with mean of 30 and standard deviation of 12.9?

Text: Sullivan, Michael I. Fundamentals of Statistics, 5th Edition. Scenario: The mean weight gain during pregnancy is 30 pounds, with a standard deviation of 12.9 pounds. Weight gain during ...
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Dunn.test - interpretation p-value and Ho rejection

I am using the Dunn test (the package Dunn.test in R) as a post-hoc test to my Kruskal Wallis analysis. My alpha value is 0.05, so I would reject the Ho for p - values <= 0.05. When printing my ...
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How should I configure CART for easier interpretation?

My goal is not to get better accuracy, but to make interpretation easier and have more stable splits. So far most useful is use larger min_samples_leaf, but I always get nodes size almost same as ...
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OLS Graph interpretation

In a graph containing the data points of different industries, there is an OLS line passing through it. If I now want to interpret the OLS line and an industry's position relative to the OLS line, how ...
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How do I interpret the odds ratio of an interaction term in Conditional Logistic Regression?

I am wondering what the correct interpretation of the odds ratio of an interaction term in conditional logistic regression is. Let's say there are two independent variables A and B, as well as an ...
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Interpretation of interaction term in a probit estimation

I know this question may be duplicate but I don't find any answer that I could understand. I am running panel probit estimations. Estimations include interaction terms that I am able to interpret. ...
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Does the parametric coefficient from GAMM compare patterns between groups over time, or just the means?

I have data consisting of the distance cats travelled each hour, collected over four or five days per cat. The cats were measured in different seasons and I want to know whether the activity of the ...
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2answers
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Interpretation of Naive Bayes Probabilities

I'm dealing with a Naive Bayes approach to a Multiclass Classification problem with 9 different classes in the target variable. Let's assume the following: I've fitted a model to my training data and ...
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Interpreting log coefficients in differences model (time series/panel)

I am struggling with the interpretation of coefficients in $\delta(\log y)=\alpha+\beta\delta(\log x)$ Usually in a $y=\alpha+\beta x$ model, $\beta$ represents change in $y$ corresponding to unit ...
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Predictors significance and interpretation in kernel methods (and Gaussian processes models)

Assuming one would want to evaluate the "significance" of features in non parametric model as GP (regression). Opposed to (linear) SVM or LDA, in which one would be able to somehow "interpret" the ...
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How to write up a Tukey Post Hoc Finding- please

How do I interpret these results into a Post Hoc Tukey HSD? TIA.
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Interpreting regression results with decimal percentage variables

I have a regression where both my Y and X variables are measured in percent (so they are decimals values, mostly less than 0). The coefficient from the regression is 0.43. Is it correct to say that a ...
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Do small odds ratios observed at multiple time points equate to a large odds ratio when averaged across time points?

I am testing the relative odds of two groups, placebo vs active treatment, guessing that they received active treatment. These guesses were made at four time points, 4, 8, 12, and 24 weeks into a ...
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What are the most important/seminal/popular methods in the field of interpretable ML?

As I've been trying to get a grasp on the field of interpretable ML I have encountered many interesting papers and methods, but I lack the perspective to determine their importance to the field as a ...
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Regression model interpretation singular (he) or plural (they)?

I'd like to ask how to correctly interpret regression model (the point in this case is more semantic in nature). Each observation (case) in my model is a person. My DV is score from math test. IVs ...
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Interpreting ANOVA f-test for model comparison

In the book ISLR, there's a lab activity which compares the nested models. ...
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Definition of Statistic

I keep seeing conflicting definitions of a statistic. Is a statistic a random variable such that it is a function of the random variables of a random sample? Or is it the value of the function of the ...
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How to interpret this visualisation?

I am trying to figure out if this is a good plot or an example of bad plot. https://www.tcsnycmarathon.org/analytics I am trying to figure out what does %Finish by Gender plot on the right is ...
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Interpretation of Conway Maxwell Poisson regression coefficients

For a simple Poisson regression, I would interpret the coefficient as (1-exp(coef))*100 for percentage change in y given a unit change in x So for a Conway-Maxwell Poisson regression, Sellers and ...
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interpreting HLM coefficients

I have created the following model of longitudinal observations in HLM7: ...
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Use historical data to build surface with limited number of points [closed]

Lets say I have historical surfaces of data which vary slightly during time, but keeps similiar dynamics. I would like to use these historical data sets to estimate todays surface (given a limited ...
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Extracting the linear equation for a circular-circular regression

I am trying to create a predictive model using a relationship found by the lm.circular function from the circular package. The ...
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Sample restriction in difference in difference: interpretation of the results and (potential) bias

Within a difference in difference (DD) strategy trends of an outcome of interest are compared for the treatment and the control groups before and after an intervention. The crucial assumption is that ...
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How do I intepret these t-SNE results?

I am rather new to the TSNE method, and am learning about the various pitfalls associated with interpreting it correctly. I have performed TSNE on a very-high dimensional dataset (>20,000 dimensions) ...
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Interpreting a confidence interval

Everything I read about confidence intervals warns against the following interpretation: If I construct a 95% confidence interval (a,b) for some parameter p, it is incorrect to say that the ...
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How do I interpret the indirect effect when path a is a linear link and path b is a logistic link?

I have a simple mediation model $X \rightarrow M \rightarrow Y$ (the direct effect $X \rightarrow Y$ is also specified). $Y$ is a binary variable, and $X$ and $M$ are continuous variables. Because of ...
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Interpreting coefficients when variables are % of GDP and an index value (0 to 1)

My dep variable is investment (% of GDP) and my independent variables are saving (% of GDP), Terror (which is an index I have created, where a value of 0 is the lowest level of terrorism and 1 is the ...
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2answers
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Are data considered to be “events” or “random variables” in machine learning?

I was sitting at a lecture on Naive Bayes, and the speaker, on a slide, said: Given a feature $x = \begin{bmatrix} x_1, \ldots, x_n \end{bmatrix}^T$, the probability of the feature belong to class ...
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Help with circular-circular regression

I am looking for assistance in using the lm.circular function of the circular package. I am unsure of A) why the package authors ...
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1answer
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How to interpret effects of predictors with large confidence intervals in GLMM?

(This question is somehow related to my previous one) My aim is to find out about which effect several predictors have on my response variable, I am interested in the direction and magnitude of the ...
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1answer
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Multiple categorical IVs and DVs with 3/5 levels prediction model

I have a data-set with 8 categorical IVs with 2/3 levels (one level for one type of conditions), 2 categorical DVs with 3/5 levels (one level for one type of responses:dis/even/ad). Participants ...
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How to detect “minimal acitvity” intervals on a chart?

I have several charts those look like the screenshot: And I should create program for detecting "intervals with low activity" (red rectangle on the screenshot). Are there any methods or algorithms ...