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

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22 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
14 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 ...
0
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0answers
12 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 ...
0
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0answers
8 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 ...
2
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1answer
33 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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0answers
21 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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28 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
7 views

select the variables in the eqation binary logistic in spss [closed]

I have run binary logistic spss in order to check the significance in 9 categorical predictors in my master theses. When comes to output in the box of variables in the equation i dont know to what to ...
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18 views

Having difficulties interpreting t-Test [closed]

I am having a problem interpreting this following: t-Test: Two-Sample Assuming Equal Variances Can someone help! Thanks so much.
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18 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 ...
3
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0answers
29 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
29 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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0answers
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
18 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
37 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
28 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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0answers
7 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" ...
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0answers
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
384 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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12 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
45 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 ...
0
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2answers
58 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
15 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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0answers
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
23 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
34 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
52 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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27 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 ...
3
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19 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 ...
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0answers
46 views

Interpreting interaction term that only includes some of the variables in the model

I have a multinomial regression model with 5 variables (forced to enter the model), and all 2 way interactions between those variables (forward stepwise). The variables are: age, education level, ...
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0answers
21 views

Which version of the Tukey mean-difference plot is more convenient?

I have a single parameter measured by two methods: A and B. I need to see how these two methods compare against each other, so ...
4
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3answers
57 views

How to interpret my coefficients?

I have the following model: $$ Gini_{it} = \alpha_i + \beta_1\ln(BNP_{it}) + \beta_2trade_{it} + \epsilon_{it}, $$ where $Gini_{it}$ is the Gini-index from 0 to 100, $\ln(BNP_{it})$ is $\ln$ of the ...
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0answers
8 views

Is it possible to get an interaction in Split Plot ANOVA (p = .02) and at the same time get a profile plot for estimated marg. M with no interaction?

In Split Plot/Mixed Design between-within (2by2 ANOVA with 3 DV) I got a significant interaction for one of my DV at F(1,196) = 5.467, p = .02. But when checked a profile plot for estimated marginal ...
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2answers
54 views

How to interpret R Pearson's correlation test?

I am trying to learn a bit of R and statistics so as "toy project" I have started from the famous Iris dataset (150 rows, 3 classes). I have applied to two features the "correlation test" in this way: ...
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0answers
67 views

How to report the results of a GLM from R output

I am currently writing up my 4th year dissertation in Ecology having completed fieldwork and analysis on the effects of various environmental variables on Butterfly abundance. I have conductuded a ...
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1answer
30 views

The meaning of Classification Accuracy

I'm working on San Francisco Crime dataset, and only get about 20% classification accuracy. I used Random Forest Method. So how I can Interpret the result? I did EDA firstly, but how can I use EDA to ...
0
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1answer
21 views

How to interpret a log transformed (x+c)? [duplicate]

I need to use log-log regression and because I have lots of zero values I tried to add a very small constant c=8E-12 to x and it works pretty good. Xs are very small probabilities. lnY= a + b ln ...
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0answers
24 views

Does rounding introduce variance into estimates?

It is often recommended to round parameter estimates to avoid suggesting more precision than the data really have, e.g. here. I understand rounding does not introduce bias, as long as an unbiased ...
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0answers
11 views

VAR impulse response interpretation when differencing

I am trying to formulate a way of how to think about differencing when interpreting impulse responses produced by VARs. There are two different views I came up with. First view is that a temporary ...
3
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0answers
42 views

Correlation & Stationarity

In a purely historical or backward-looking, descriptive context, is it incorrect to naively compute the covariance $$ \mathbf{E}(XY) - \mathbf{E}(X)\mathbf{E}(Y) $$ and Pearson correlation coefficient ...
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13 views

What is the difference between a cross-level Interaction and a random slope in a mixed effect model?

Can someone please articulate the differences between a "cross-level interaction" and a mixed effects model? Two areas that are unclear: - Are all random slopes the same as "cross-level ...
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0answers
16 views

How to interpret glmmPQL summary value

I'm doing a GLMM with quasi-Poisson to check for a spatial correlation between some predator bugs and their prey (count data of predator and prey + added distance of plots). I've added everything into ...
3
votes
1answer
81 views

Kolmogorov–Smirnov test vs. t-test

I'm having some difficulty in understanding the interpretation of the 2 sample KS test, and how it is different from a regular t test between 2 groups. Lets say I have males and females doing some ...
1
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1answer
36 views

Intuitive explanation of logloss

In several kaggle competitions the scoring was based on "logloss". This relates to classification error. Here is a technical answer but I am looking for an intuitive answer. I really liked the ...
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29 views

Interpretation of coefficients

I know that probably a lot of people already asked about the interpretation of coefficients especially in log-linear models. Unfortunately, I was not able to find an answer to my specific question: I ...
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0answers
20 views

How to identify the prediction equation from a regression model using splines

I find it difficult to connect the coefficients of a regression model that includes splines to the actual prediction equation. For example, how could that be done with the following model? ...
1
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1answer
23 views

Interpreting t-test results : Need a sanity check regarding t-statistic sign

Rookie stat question here, hoping to get a sanity check... So lets say that I have two groups, A and B. I run a two tailed t test in R, t.test(A, B, var.equal = TRUE). If my t-statistic value ...