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

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45 views

How to interpret this interaction in R?

How would you interpret this interaction? The structure of the data is all integer variables. Inc.fix= income, age.fix=age, profit99= profit ...
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1answer
28 views

How to interpret my coeff/ORs when the main effect of my two predictors is significant but not the interaction between the two?

Apologies as this has been posted before in similar topics but still I am trying to stretch my brain to understand it. I have panel data, I am looking at both binary and count variables as outcomes ...
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1answer
21 views

When fitting a GLMM, is the predicted value for any success or all successes or what?

I am relatively new to multilevel modeling and have just been given an assignment that uses a generalized linear mixed effects model. The outcome is smoking status (1=yes, 0=no) measured at three ...
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0answers
10 views

Does a factor-by-factor interaction term have any literal interpretation?

Following the explanations in What is the baseline level in a factor-by-factor interaction?, it is my understanding that a factor-by-factor interaction term has no literal interpretation. At the very ...
2
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0answers
16 views

Meaning of y axis in Random Forest partial dependence plot

I am using the RandomForest R package and am confused at how to interpret the values of the Y-axis in their partial dependence plots. Help docs state that the plot ...
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0answers
5 views

Parameterization of the ANOVA model and interpretation of the overall F-test

I've recently encountered the following concept regarding linear regression: the inclusion of an intercept will change the interpretation of both the overall F-test and the individual parameter ...
3
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0answers
33 views

Interpretation of biplot in PCA

Blue points all appear in the lower right-hand quadrant in the plane formed by the first two principal components. Is it a good interpretation of the biplot (right panel) to say that blue points ...
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1answer
10 views

How do you interpret SPSS output for reference groups with multiple levels?

I am using binary logistic regression. My dependent variable is referred or not referred. I have set a reference category for location of subjects. I have chosen to use the largest site with the ...
2
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1answer
39 views

Interpretation of marginal effects in Logit Model with log$\times$independent variable

I am totally confused by statistics and I would be glad if you could help me. I have a difficulties to interpret marginal effects in logit model, if my independent variable is log transformed. I ...
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1answer
39 views

What do these probabilities mean in lay language? A HR of 0.419 means what?

The adjusted hazard ratios (HRs) for dementia were significantly inversely associated with increased daily or total equivalent statin dosage. The HRs for the three tertiles of mean equivalent daily ...
3
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1answer
38 views

How to interpret $\delta$ in the analysis of this article?

Goal I ran some population genetics numerical simulations where an effect of interest is observed whenever there is a tendency of individuals to migrate more toward one direction than toward the ...
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0answers
14 views

Hierarchical Regression Moderator Analysis

I ran a 2-block hierarchical regression to test for moderation. In the first block I entered the centered IV and centered moderator variable (MV) and in the second block I entered my centered ...
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1answer
80 views

Interpreting regression results

I ran the following regression using R. ...
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1answer
38 views

What is the baseline level in a factor-by-factor interaction?

What is the baseline level for a factor-by-factor interaction term in multiple regression? Consider this example from Fox 2003. In the regression below, these two variables are categorical: ...
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0answers
11 views

Interpreting results of multiple regression with two categorical predictors

I ran a multiple regression model with 2 categorical predictors: X1 and X2, each getting values 0 or 1 (two factors with two levels each). Both variables were statistically significant. The ...
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1answer
36 views

How to describe meaning of R squared?

What is the correct interpretation of R squared? How do you typically write the results? Could I say something like Age explained 30% of variation of the car condition index. Please help :)
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0answers
7 views

Covariates and interactions

I have collected data and am trying to interpret my results. I am analysing data on plant traits between treatments, hot and cold. The plants I grew myself and are all from the same population. I ...
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0answers
16 views

First factor in Exploratory Factor Analysis and Principal Component Analysis

I am conducting an Exploratory Factor Analysis (EFA) and I was wondering if it is common or appropriate to say that the first factor is the strongest or most important of the model as it is explaining ...
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2answers
41 views

How to show that a dataset does not contain significant outliers?

I have largish dataset: there is 200 variables and 100 samples. How could I show that the dataset does not contain any significant outliers? All variables have the same unit (millimeters) and have ...
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0answers
21 views

How to interpret factor by factor interactions?

I'm a bit confused on how one should interpret factor by factor interactions, and what interpretations can be validly extracted. Consider this example from Fox 2003. In the regression below, these ...
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0answers
6 views

Interpreting moderation in a hierarchichal regression

I am researching whether gender moderates the relationship between exposure to trauma and PTSD. The results are confusing me. I found that gender does predict PTSD above and beyond exposure. However, ...
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0answers
42 views

How does the presence of factors affect the interpretation of the other coefficients in a regression?

The answer to Interpreting coefficients of an interaction between categorical and continuous variable contains a phrase that seems to have some significant impact on how coefficients are interpreted ...
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0answers
19 views

interpretation of coefficients from glm model, normal family with log link vs. linear model with logged outcome

I was fitting a linear model where the outcome was log transformed. The outcome is overdispersed and skewed and logging dramatically improved model fit. For reasons that relate to the software ...
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1answer
19 views

Interpreting OLS Cross-Sectional Macro Data

I have the following model: $y=a_0+a_1(x_1/z_1)+a_2(x_2)+e $, where $y$ = the average log of variable y, $x_1$ = the average ratio of $ x_1/z_1 $, $x_2$ = is the averae log of the variable $x_2$. ...
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1answer
29 views

Interpretation of Coefficients in linear regression using 'fitlm'

I require help with regards to the interpretation of linear regression results (I'm using the Matlab 'fitlm' function). My data has 8 features, and when each feature is plotted against the response ...
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2answers
83 views

Interpretation of continuous variable in dummy-continuous interaction

Similar questions have been asked before, but all of them focus on the dummy or interaction term. Say run an OLS regression on the model: $\ln( housePrice )= \beta_1 \times pollutionLevel + \beta_2 ...
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0answers
7 views

Interpretion of ANOVA with Nested Design

The following scenario is a basic nested design. I am trying to wrap my head around the interpretation of the ANOVA Table. Scenario: A school administrator is looking to investigate 5th grade ...
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1answer
41 views

Interpret learning curves

I am training a Decision Tree on a dataset of around 580.000 data points. I took the following steps: Split the dataset in training (75%) and validation (25%) set. Determined the best depth for the ...
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1answer
42 views

logistic regression continuous independent variable interpretation in R

I have age as a covariate in my material. A continuous variable. The age varies between 18-70 years. I'm into a logistic regression and do not really know how to treat the variable. As a linear ...
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0answers
10 views

Cox/ Binomial Regression: How to reconcile Non-significant model with significant IVs

I'm been performing some survival and regression analyses corresponding to an event of interest being death or a certain surgical procedure, namely a shunt revision for pediatric neuro-surgical ...
6
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1answer
238 views

Why do my p-values differ between logistic regression output, chi-squared test, and the confidence interval for the OR?

I have built a logistic regression where the outcome variable is being cured after receiving treatment (Cure vs. No Cure). All ...
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1answer
21 views

interpreting NMDS ordinations that show both samples and species

I am using the vegan package in R to plot non-metric multidimensional scaling (NMDS) ordinations. I am using this package because of its compatibility with common ...
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0answers
37 views

Interpret correlation

I ran bivariate correlation between two variables at two different time points as well as with the change between the two time points. I used Pearson correlation: Before r,p -0.44,0.030 After r,p ...
3
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1answer
80 views

Conclusions from output of a principal component analysis

I am trying to understand output of principal component analysis performed as follows: ...
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0answers
17 views

Leave one out cross validation error term interpretation

I have a dataset that involved 70 participants and 7 variables (1 y variable and 6 explanatory variable). I have used leave one out cross validation to assess the model and have resulted in an answer ...
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1answer
6 views

What does it mean for Multiple “R-squared(proj model)” in felm, package lfe

In the output of felm function which is a function for the Linear Models with Multiple Fixed Effects, two R-squared information are provided: Multiple R-squared(full model) and Multiple R-squared(proj ...
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0answers
28 views

How to interpret the coefficients from Dirichlet Regression?

I have a response Y, which consists out of 5 response variables which are proportions and for each observation, add up to 1. I'm tying to regress these with a set of independent variables. As I ...
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0answers
29 views

Interpretation of variance component

In a report, I came across the following table and unfortunately there is no description for it. I have very limited knowledge of statistics. Could someone kindly let me know what the interpretation ...
3
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0answers
38 views

OLS with ordinal dependent variable - do the coefficients mean anything?

I currently read a paper in which the author has asked people 3 different questions regarding their life satisfaction, all of which are to be rated on a four point scale: 1) very low, 2) low, 3) high, ...
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0answers
25 views

Relationship between the parameters of the Normal distribution and parameters in the probit with multiple predictors?

According to A. Agresti (2007, p. 73) in binary probit regression: "The parameters of the normal distribution relate to the parameters in the probit by mean (mu = -alpha/beta) and standard deviation ...
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2answers
691 views

How can I explain proportional odds models to a layman?

I'm writing an interdisciplinary research paper and I'm having some troubles in clearly explaining my findings. In particular, I applied a proportional odds model with one regressor $x$ and three ...
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0answers
28 views

Can Cox models be used with time-varying covariates?

I work at a hard drive manufacturer. In my project, we have huge sets of testing data of hard drives. Most of them are time-varying covariates. My colleges are using cox regression. I doubt it. ...
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0answers
35 views

Interpretation of effect sizes

I made a conclusion after a lot of research on the internet and i want to know if it is sound in any way. Because i think i might have been thinking on this way too long. Here's the deal: we did an ...
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0answers
43 views

Help needed interpreting medeff results in stata

I am new to using the medeff function. I am looking for basic help in how to read the results I got from my analysis. I got the following results: 1) Because the ACME mean is insignificant, does ...
0
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1answer
21 views

Interpretation of Interaction Term with Dummy [duplicate]

I am trying to interpret the following model: y=a1+a2*x+a3*d+a4(x*d)+e where y= growth rate x=debt d= dummy high debt ...
1
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1answer
37 views

Understanding Bartlett's test from SAS

I am trying interpret the results of Bartlett's test run in SAS. This is the output I get: ...
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1answer
41 views

Get overall tendency in the dependent variable, beyond the effect of the independent variable [closed]

Hypothetical data-set: There's a dependent binomial variable 'happiness', with $0 = unhappy$ and $1 = happy$. Then there's an independent categorical variable 'color' with the levels $blue, red, ...
2
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1answer
60 views

Normality test for t-test

I ran the Kolmogorov test on a sample and its results showed that the data was significantly drawn from a normally distributed population. Then I assumed that data is suitable for applying t-test. But ...
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0answers
33 views

Consensus methods for interpreting results of a cluster analysis

With cluster analysis, sometimes we want to assign meaning to the nature of the identified clusters. This is subjective and often done by a single person (or very few people) with perhaps some ...
3
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0answers
49 views

Terrible logistic model gives perfect results? [duplicate]

So I'm playing around with logistic regression in R, using the mtcars dataset, and I decide to create a logistic regression model on the 'am' parameter (that is manual or automatic transmission for ...