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

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-3
votes
1answer
75 views

Bayesian Data Analysis [on hold]

I started recently studying the Bayesian Data Analysis. I installed R studio, BEST and JAGS. I ran this analysis on two groups of means (...
2
votes
1answer
37 views

Interpretation of logged regression

I have run a linear regression with the following equation (in r): lm(formula = logTotal ~ Continent + logArea + Method + Servs) where ...
0
votes
0answers
39 views

Variance in significance with interaction term

I try to estimate the effects of NatRent (Natural resource rents in % of GDP) on GDP growth per capita (in %). When I include a Rule of Law (a measure for institutional quality) the coefficient of ...
2
votes
1answer
36 views

Interpretation of betas when there are multiple categorical variables

I understand the concept that $\hat\beta_0$ is the mean for when the categorical variable is equal to 0 (or is the reference group), giving the end interpretation that the regression coefficient is ...
1
vote
1answer
34 views

Spearman's rho for nominal / metrical data

Can Spearman's rho be used to calculate correlations between nominal (i.e., locations such as 1 = City1, 2 = City2, 3 = City3) and metrical data (i.e., revenue generated in US dollars)? I also heard ...
4
votes
1answer
56 views

How to interpret autocorrelation plot in MCMC

I am getting familiar with Bayesian statistics by reading the book Doing Bayesian Data Analysis, by John K. Kruschke also known as the "puppy book". In chapter 9, hierarchical models are introduced ...
1
vote
2answers
58 views

How to interpret PCA for data reduction?

I have 19 currency pairs like USD.AUD, USD.CAD, etc. Also 82 cross currency pairs like ...
1
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2answers
56 views

Controlling for age in multiple regression

I am a little stuck on what how to implement and interpret a multiple regression while controlling for age. I am interested in seeing if there is a positive relationship between depression and use ...
0
votes
0answers
27 views

Confusion about features selection for inference analysis with lm/glm

I need a bit of tutoring about grasping the true meaning of linear regression analysis. I'd like some help in understanding well the relationships between predictors and and the meaning of adding and ...
7
votes
3answers
142 views

How can I interpret a plot of trimming percentage vs. trimmed mean?

For part of a homework question, I was asked to calculate the trimmed mean for a dataset by deleting the smallest and largest observation, and to interpret the result. The trimmed mean was lower than ...
1
vote
2answers
44 views

How to interpret a negative correlation of random effects in a mixed-effects model (in R)?

I've just gotten stuck in interpreting the output for a linear mixed effects model. My model includes Week as a time predictor, and scores on a depression scale as outcome. I have not worked with R ...
0
votes
0answers
9 views

mixed within-between ANOVA. I have a significant interaction but no significant main effect

I am currently trying to interpret the output of my mixed within-between ANOVA. I have 2 groups (experimental and control) and 2 time points (pre and post intervention).The dependent variable is a ...
0
votes
2answers
28 views

4-way Repeated Measures ANOVA

exchangers! I am struggling with my data analysis for an article I'm writing. I have to following experimental set-up. Instruction (A/B) Group (Alcohol Dependent / healthy Control) - between ...
0
votes
0answers
32 views

How to interpret ACF and PACF plots

I just want to check that I am interpreting the ACF and PACF plots correctly: The data corresponds to the errors generated between the actual data points and the estimates generated using an ...
1
vote
0answers
11 views

Why normalized feature weights for linear regression are bad feature importance predictors

I am trying to interpret a linear regression model. I assumed using absolute value of feature weight coefficients as indicators of influence of input variable onto output variable. However, it seems ...
0
votes
0answers
49 views

How are statistics on scientific papers inferred?

Referring to this question: How should be statistics on scientific papers read?, a kind user explained us how to read the following statement from the original research paper:. Increasing ...
3
votes
1answer
77 views

How should be statistics on scientific papers read?

Let's take this research published on Plos ONE Increasing carbohydrate intake was associated with increasing stroke risk (HR = 2.01, 95%CI = 1.04–3.86 highest vs. lowest quintile; p for trend ...
0
votes
0answers
28 views

How to interpret 3 main effects when an interaction exists for only two of the variables?

I've been searching for interpretation guidance regarding the below problem, but all the resources I've seen have been fully crossed (i.e., all variables included in the interaction term). Below is a ...
3
votes
1answer
65 views

Interpretation of odds in logistic regression

I have been reading the odds tutorial on UCLA's stats page. And I am trying to figure out if my interpretation of the results below is correct. Based upon looking at the data the results seem to hold ...
-2
votes
1answer
42 views

Graph Interpretation

I would like to ask what could be the most possible interpretation of these two graphs attached. One of them depicts conditional probabilty p(Y|X) whereas the second one shows Y regressed on X. I ...
3
votes
0answers
26 views

Interpretation of log transformed predictor in negative binomial regression

I mainly want to make sure that I'm making the correct interpretation here. I built a negative binomial regression model predicting a count variable. There was evidence of overdispersion or I would ...
0
votes
0answers
4 views

how do i interpret the result for optdesign and the theory behind? [closed]

I am trying to write a project and I am using the package of DoseFinding. I want to figure out the output from the optDesign and interpret it. And what is the theory of TD. I tried to use ?optDesign ...
1
vote
1answer
39 views

How should I interpret a factor that is significant both (1) in linear form in interaction with another factor and (2) in its quadratic form?

Our study aims to identify and understand how several ecological factors relate to parasite abundance in a colonial animal. However, we are uncertain on how to interpret a factor (density) that is ...
1
vote
0answers
42 views

Interpretation of clogit coefficients (Survival package in R)

Still very very new to R! I've run a conjoint (choice) experiment that uses the function clogit. Output as follows: (this model has been obtained through stepwise methods) ...
4
votes
2answers
103 views

Interpretation of multiple logistic regression with interactions in R

I am trying to look at whether 2 variables (one dichotomous categorical and one continuous) predict the occurrence of a dichotomous categorical dependent variable. ...
3
votes
1answer
128 views

How to interpret non-significant interaction term in linear regression?

I have difficulties interpreting an interaction term in a linear regression with regards to my hypothesis. Consider this basic example: H0: Better school grades lead to higher income and this ...
2
votes
4answers
614 views

How do you interpret a significant but weak correlation?

I have carried out a number of Pearson Chi Square tests on the relationship between tail lesions and abscessation in pigs. I have found a significant (p = 0.005) but weak (Cramers V = 0.288) ...
0
votes
1answer
22 views

Is there a statistical differing interpretation between match and fit?

I've seen the terms matching/match and fitting/fit used almost interchangeably when discussing models goodness of fit, observed vs simulated data matching, etc. Is there a difference in ...
0
votes
0answers
11 views

Describing the association between dependent and independent variables [duplicate]

I’m somewhat confused about the (wording of the) interpretation the coefficient (b1) of a classic OLS regression: Y = b0 + b1*X + e In the literature, the two interpretations: b1 reflects the ...
1
vote
1answer
54 views

Can I still interpret a Q-Q plot that uses discrete/rounded data?

I have a data set with only discrete/rounded values in it. As a result, when I produce a Q-Q plot a "stair-case" pattern appears. Can I still interpret this just like a normal Q-Q plot even though it ...
0
votes
0answers
36 views

GEE in SPSS: the case of ever-decreasing QICc values

I've been using GEEs in SPSS 22 to analyze my dissertation data and have discovered an interesting problem: when trying to figure out which subset of model factors have the lowest QICc, and therefore ...
0
votes
0answers
26 views

Interpreting results from a mixed model with interactions

I need your help interpreting my model's results. To make story short, I have a continuous dependent variable $Y$, and two factors $A$ and $B$, each with $2$ levels $(A_1, A_2, B_1, B_2)$. My main ...
0
votes
2answers
24 views

Help in regression interpretation, including interaction terms

I m doing a quantitative analysis for my dissertation and I m having issues with the interpretation of my results (I have little knowledge of SPSS). I m doing a panel data analysis with multiple ...
1
vote
0answers
26 views

Am I using Goodman-Kruskal gamma or Somers D or Kendall tau correctly and what do they mean?

I am seemingly blindly following this publication that has done work very similar to what I need to accomplish (page 18-21). My analysis is a multinomial logistic regression where I have 3 possible ...
0
votes
1answer
70 views

Interpretation of multinomial logistic regression output from R

I have used mlogit package and I am trying to summarize the results I have from my model. I have a question regarding the reference value and will get to that in a ...
0
votes
0answers
15 views

Need help on how to interpret Gamma Probability density function of gamma(2, 1/10) [duplicate]

The below sample graph was created using R, for an example I came across while reading (on Distribution of time until customer x arrives): ...
0
votes
1answer
75 views

How can a regression be significant yet both predictors be non-significant? [duplicate]

I know this question has been asked in a slightly different form here. But my question differs and because of the forum rules I can't post on that thread. I have 2 independent variables, n=32, highly ...
1
vote
1answer
43 views

ordered logit-difference-in-difference

I ran an ordered logit difference-in-difference estimation and got stuck in terms of interpretation. The dependent variable takes on values 1 2 and 3 and I am trying to obtain coefficients for the ...
0
votes
3answers
91 views

Analysis of Kullback-Leibler divergence

Let us consider the following two probability distributions ...
0
votes
0answers
27 views

Beyond multiple linear regression for longitudinal data?

I have a relatively large dataset from a longitudinal study (~100k subjects and ~10 random effects) where the outcome is a real-valued parameter. A simple run of R's ...
0
votes
0answers
16 views

How could I generate an “explanation” for each prediction in a classification ?

I have a classification problem. My classes are 0 and 1. The dataset is a bit big, the training is done on 7 million lines and 100 + variables so I choose to use scikit learn and the logistic ...
0
votes
0answers
32 views

Interpretation of categorical 2x2 ANOVA/Regression outcomes

I have found contradicting interpretation guidlines and wanted to clarify (using SPSS): I have a 2x2 design, so 2 categorical factors with 2 levels each and want to test for group differences on my ...
23
votes
3answers
721 views

Interpreting QQplot - Is there any rule of thumb to decide for non-normality?

I have read enough threads on QQplots here to understand that a QQplot can be more informative than other normality tests. However, I am inexperienced with interpreting QQplots. I googled a lot; I ...
0
votes
0answers
14 views

Comparison of trend lines [duplicate]

I have two data sets with about 7 points on each. Excel gives me trendlines with the following values: $y=0.0263x + 17.292\,,\quad R^2 = 0.09617$ $y= 0.0121x + 18.873\,,\quad R^2 = 0.01528$ ...
0
votes
0answers
67 views

Is this a case for an ordinal logistic regression? Problems interpreting output

I'm a beginner in statistics and R, sorry if this question may seem trivial. I've collected data measuring several different parameters in 40 subjects at two time-points (t1 and t2). There are 3 main ...
0
votes
0answers
35 views

Multinomial logistic regression interpretation in R

I have run a multinomial logistic regression test for the interaction between species of deer, days a camera trap was in the field and type of reaction. The model with the best AIC value was: ...
0
votes
0answers
75 views

R multinomial logistic regression interpretation

I have run a multinomial logistic regression test for the interaction between species of deer, days a camera trap was in the field and type of reaction. The model ...
0
votes
0answers
40 views

Complete interpretation of Cox regression output in R

I need help with complete interpretation of this output(below). Can someone explain all (almost all) estimators in this output: what they mean and what is the substantive interpretation. In ...
0
votes
1answer
89 views

Ordinal logistic regression with likert scales

I'm currently have a bit of difficulty determining how to analyze this data via logistic regression analysis. ...
0
votes
1answer
31 views

Understanding Regression vs. Means/Median Results

I am having a little difficulty understanding my results - could someone help me understand how to interpret, and if my process is sensible? Here is an example of what I am doing I am trying to ...