Questions tagged [interpretation]

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

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31 views

PCA loadings of one

I performed a PCA on the results of 4 different tests. Each test can only have whole integers as a score, and is measured on a scale of 0-5. From what I've read, you are not supposed to conduct a ...
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1answer
35 views

Can I remove a dummy variable when it is not significant by itself, but its interaction with another variable is?

I have the following model based on the financial returns of a company as a dependent variable of a stock market index, and a dummy variable interacting with USD exchange rates to my currency. The ...
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How to interpret coefficients of zero-inflated poisson regression with factor (ordered) variables?

I have data on breakout of diarrhea in 67 villages. First, I wanted to use number of diarrhea cases divided by number of households in the village as my dependent variable. then, my independent ...
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What are other ways to say “cutting off 2.5% from the tails”? [closed]

I was reading a text that state Cutting off $2.5\%$ from the tails of these simulated distributions gives us Bayesian interval estimates of $\mu$ and $\theta$. I was wondering what are other ways ...
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2answers
42 views

How to interpret B when x is squared?

My OLS regression looks like this: $$y=\beta_0+\beta_1x_1+\beta_2x_2+\beta_3(x_3)^2+\epsilon.$$ I do not include $x_3$ linear because it vifs with squared value and without squared value I have ...
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205 views

Only the intercept is significant in regression model (with dummy variable?)

This is a similar question to Intercept significant but not the variables in GLM, but in more detail: my model's dependent variable is change in population density of a state, and the independent ...
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37 views

Chow test results interpretation

I am analysing time series data right now using gretl, and want to test for a structural break, but I am not quite sure how I have to interpret the results. Let's say I have a wheat price and flour ...
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17 views

How to interpret the ratio between a coefficient on a dummy and the coefficient of a log income variable?

I was reading this paper by Kahneman & Deaton: Kahneman, D., & Deaton, A. (2010). High income improves evaluation of life but not emotional well-being. Proceedings of the national academy of ...
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19 views

How should I interpret this equation? [duplicate]

I got this equation by predicting grassland biomass growth from precipitation and soilnutrient. How can I convert it into original power function and how to interpret scientifically. ...
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1answer
61 views

How to explain the result of this polynomial equation?

Lets say that I predicted plant productivity (logy) by precipitation (logx1) and moisture content of soil (logx2). my original data gives me the best result only after taking logarithm on both side of ...
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1answer
86 views

How to interpret quadratic effects?

I have built a LMM (using LME4) for understanding how investment fund's structural characteristics (things like how much debt they have, their size etc) impacts upon performance. In the analysis, I ...
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1answer
10 views

Expressing the difference between two rates

I have what I hope is a simple question about interpreting rates. Let's say I have two populations, and I know the rate of at which members of both are a particular demographic. I'll use gender. Let'...
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48 views

Negative degrees of freedom in multilevel SEM

Can someone please help me understand why I have negative amount of degrees of freedom in my output? I am doing a multilevel sem in lavaan and have 1 level 2 variable and 3 level 1 variables Thanks! <...
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2answers
87 views

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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1answer
47 views

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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1answer
35 views

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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37 views

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
46 views

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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14 views

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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40 views

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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18 views

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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75 views

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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11 views

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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43 views

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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60 views

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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44 views

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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1answer
43 views

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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20 views

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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43 views

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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1answer
111 views

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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13 views

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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87 views

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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12 views

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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1answer
65 views

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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1answer
81 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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1answer
55 views

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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13 views

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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64 views

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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1answer
35 views

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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1answer
188 views

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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15 views

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
37 views

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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1answer
149 views

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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17 views

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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49 views

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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1answer
70 views

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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38 views

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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1answer
72 views

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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