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

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14 views

How can I have more factors than there are variables

I've come to learn about factor analysis as mainly a dimensionality reduction tool. However, can we also use the factor analysis method to have more factors than there are variables? If so, what would ...
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1answer
37 views

How to interpret a significant coefficient of 0?

I just ran a multiple regression with 8 predictor variables. Two of them have a significant coefficient, which is 0.000. How can I interpret this? I find it strange that an effect which basically is ...
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21 views

Interpreting coxph output with cumulative time dependent covariate

Hoping for some help in interpreting the coxph output in R using the survival package. I am very new to R, but have successfully ...
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1answer
29 views

Interpretation hierarchical regression

I'm running hierarchical regression to determine whether or not a number of independent variables are able to explain a dependent variable. I have following models: Model 1: only controlvariables ...
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0answers
14 views

Interpreting fixed effects regression coefficients [duplicate]

This probably is a very "beginner kind of question", but I have trouble interpreting the coefficients in my fixed effects regression. The data is on book ratings. Ratings are measured on a scale ...
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1answer
96 views

Interpretation of coefficients in logistic regression output

I am doing logistic regression in R on a binary dependent variable with only one independent variable. I found the odd ratio as 0.99 for an outcomes. This can be shown in following. Odds ratio is ...
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0answers
18 views

aggregating outliers [closed]

Will someone, anyone (with statistical expertise) explain to me in simple plain english what exactly the statistical term aggregating outliers mean. I have a PhD and I had to take my fair share of ...
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43 views

Interpreting non-significant simple slopes

I did a hierarchical multiple regression with a few hypothetical variables X=trait control, M=exercise and Y=happiness. X and M were insignificant but the interaction term was significant. After ...
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23 views

Estimation of parameters with Latin Hypercube, have I a correct result?

I want to do estimation of parameters using the latin hypercube. I am working with an epidemiological model SIS with vital dynamics \begin{align*} \frac{\partial I}{\partial t}&= r S I - a I - ...
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19 views

How should I interpret a significant break in an insignificant independent variable?

I have got a OLS on overweight with year and excise on sugar as independent variables. Excise isn't significant in this regression, but if I do a Chow breakpoint test on my data (for the year the ...
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0answers
46 views

Help interpreting the output from a mediation analysis

Currently I'm working on some organisational research. Just to get a bit of a idea of what I'm research; I'm looking at impact of leadership on how enthusiastically work. I believe the relationship of ...
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0answers
18 views

How to interpret lsmeans output for my lmer model?

I've defined an lmer model in R with 2 fixed effects, 2 random intercepts and a random slope: ...
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0answers
30 views

Controlling for age in logistic regression and I'm stuck in circular reasoning

I recently completed a research project that involved motor learning in control (non-disease) subjects. The outcome of the motor learning is binary: 1 - subject learned, 0 - subject didn't learn. 13 ...
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55 views

Hausman Test interpretation is based on the p-value? - R output

I obtained the following output after running the Hausman test: 1) CASE 1 Hausman Test chisq = 13.943, df = 4, p-value = 0.007478 alternative hypothesis: one model is inconsistent 2) CASE 2 Hausman ...
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1answer
52 views

Interpretation of feature contribution in random forest

In the featureContribution function (in the R package rfFC), what should we interpret if all the scores for all the features are ...
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0answers
14 views

Quick question on performance of lasso logisitc model

I performed a lasso logistic regression on two modles. One model contains only the control variables. The other model contains controls+linguistic measures. When I search for the optimum lambda ...
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1answer
19 views

Squared IV in lasso logistic regression

I use lasso logistic regression and want to test the influence of a suqared (X1^2) variable on the outcome. Assume, I put all variables in my model and it looks sth. like this: Y (0/1) X1 X1^2 X2 ...
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1answer
21 views

anova() for model comparision _ Regression

let's suppose; I am fitting some models to a data set: ...
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0answers
27 views

Interpretation of a strange part in ROC curve

I generated the following ROC curve using Rapid Miner to compare few binary classifers but I don't know how to interpret the curve of "Random Forest" model It doesn't look like a curve
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0answers
23 views

Interpreting continuous interaction term

I have a question regarding the interpretation of an interaction term in the following model: $$ Y=β_0+β_1X+β_2Z+β_3XZ $$ $X$ and $Z$ are continuous and $X$ is negatively related to $Y$, whereas $Z$ ...
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32 views

How to interpret regression diagnostic plots for multiple linear regression analysis (with specific example)

I recently using the day.csv file which is downloaded from http://archive.ics.uci.edu/ml/machine-learning-databases/00275/ to build a regression model for the last column “cnt” in R. This is the ...
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1answer
20 views

How to read the output from MANOVA?

I'm testing if/how the two factors C and V affect the dependent variables fric and ...
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0answers
14 views

Mann-Whitney output confusion

In an experiment I exposed each of 4 subject groups to a different condition to observe the impact on dependent variable. Assumptions for parametric tests were violated hence I decided to employ non-...
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0answers
25 views

Why Are Impulse Responses in VECM Permanent?

The usual interpretation of impulse response functions in standard vector autoregression (VAR) models is that they represent the response of a variable, say $y_t$, to a shock of one standard deviation ...
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1answer
35 views

Reporting focal strain (high MI) for CFA models with good model fit?

According to Brown (2015), one is expected to examine and report localized areas of ill fit (e.g. modification indices (MI)) as part of the model evaluation. I have a number of questions about ...
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1answer
46 views

Interpreting regression Output for CAPM

I have an interpretation problem. As you can see below there's a linear regression output for the CAPM. I don't know how to interpret the significance level. ExIndex has a very low p-value, but the ...
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0answers
35 views

Interpreting log likelihood

I have difficulty interpreting some results. I am doing an hierarhical related regression with ecoreg. If I enter the code I receive output with oddsratio's, ...
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0answers
23 views

VGAM - “propodds” in R

I am trying to use "propodds" in the VGAM function in R, but am not sure if I am doing it right and don't really understand how to analyze the output I got so far to check to see if I am using it ...
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30 views

Question regarding odds and odds ratios

I wonder if having multiple groups (race: white, asian, black, hispanic), can I calculate odds ratios for these groups. The data are encoded as nominal variables (0,1,2 etc.) I have a $4 \times 2$ ...
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2answers
25 views

Applied interpretation of coefficients of log linear regression model

I'm in the process of using a log-linear transformed OLS model to predict the impact of temperature changes on sales. I know that the interpretation of a log-linear model loosely follows as: for each ...
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1answer
32 views

Logistic regression categorical variable interpretation after transformed into dummy variable

Before training a glm model (in R), predictors were transformed into matrix and highly correlated/near zero variance variables were excluded: ...
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0answers
11 views

Interpretation of max and odds ratio

Please I will like to know how different or similar the interpretation of odds ratio results mad fixed effect results are. I will like to compare the result they provide
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24 views

Link between marginal effects of probit estimation and proportions in sample

Suppose you are estimating a model with a binary dependent variable $Y_i$ and where the explanatory variables are a randomly assigned binary treatment $D_i$ and a vector of covariates. My ...
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0answers
20 views

Interpretation of Interaction effects in a Binary Logistic Regression

I have a series of exam practice questions on binary logistic regression, and I am struggling with one because I am unclear on how to interpret interaction effects in binary logistic regression. In ...
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2answers
39 views

Help interpreting interaction terms in proportional cumulative logistic regression- ordinal regression

I am using the polr() function in R to analyze the relationship between a students score on their first exam, their score in their prerequisite course, and their beginning of semester GPA on their ...
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1answer
46 views

VAR model interpretation: Coef vs Impulse response functions

In courses such as time series analysis, we learned that the relationships derived from impulse response functions or Granger causalties are more interesting than the estimation output. I was ...
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8 views

Interpretation of ellipse3d in R

I was looking at the information provided as part of the "complete guide to 3D visualization device system in R - R software and data visualization" (http://www.sthda.com/english/wiki/a-complete-guide-...
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9 views

Interpretation of the estimate of a 'share of' variable.

Currently I am writing my thesis and therefore I have run some panel data regressions in Stata. There are various variables included in this formula, but I am unable to interpret a minor part. I am ...
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1answer
404 views

What is skewness of a distribution?

What is skewness of a distribution? I ask it why any particular indices seem indecisive about symmetry, and in some case also about asymmetry.
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16 views

how to interpret interaction in Poisson regression using SAS

I tried to run Poisson regression models using SAS by including interaction terms and offset by log population. All dependent variables were categorical. In the first model, I tested the interaction ...
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2answers
49 views

How to interpret Quadratic Terms

I'm answering a practice exam questions, and having trouble with one on quadratic terms. Could someone give me a quick summery of 1) why they are sometimes included? 2) How to interpret them? In ...
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2answers
61 views

Interpretation of the Fisher-exact test

I'm running some R code, where I would like to check if some data is independent. I could use a Chi-square test, which rejects independence. However I would like to ...
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0answers
17 views

interpretation of coefficients in regression with categorical, continuous predictors

I am having trouble with interpretation of regression coefficients when more than one categorical variable is included. Also, I am not clear on how including interaction terms changes the coefficient ...
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13 views

Do these two variables make sense?

I am running a fixed effects regression on wages and gambling to see what impact gambling has on earnings. The dataset I have been given has two interesting variables - poverty and unemployment rate. ...
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1answer
34 views

Interpreting results of a Linear Mixed effect Model

I am trying to implement a Linear Mixed-Effects Model in Matlab. I have many repeated measures of some features in a longitudinal data set of 51 people. I considered a random intercept that varies by ...
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2answers
37 views

Simple Linear Regression, Serially Correlated Residuals, and Interpretation

Question Can I draw any proper conclusions about the linearity and strength of a relationship between two non-stationary time series (I'm considering two series of interest rates, series $A$ and ...
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3answers
53 views

Does practical insignificance mean no relationship?

I have two problems: 1) I have a regression coefficient that is very significant (large dataset), but has low practical significance. Can I say there is no relationship? And I mean really tiny, like ....
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0answers
32 views

Interpreting pvalue in the light of known power

I'm puzzled with the interpretation of a pvalue in the light of known power Let's say I study the association between a dichotomic variable (a treatment) and a quantitative one, which is my primary ...
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0answers
21 views

Still confused regarding interpretation of effect size given highly significant p-values

Suppose you have 3 groups, 'Atheists' ($n_1=102$), 'Nones' ($n_2=178$) and 'Religionists' ($n_3 = 390$). You want to find out if there is a difference in the experience of meaningfulness between these ...