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

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34 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
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0answers
14 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 ...
1
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1answer
34 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
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0answers
28 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) ...
3
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2answers
75 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
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1answer
107 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 ...
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3answers
531 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) ...
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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 ...
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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 ...
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1answer
33 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 ...
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0answers
25 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 ...
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0answers
24 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 ...
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2answers
22 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 ...
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0answers
22 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
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1answer
48 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
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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
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1answer
73 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
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1answer
35 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
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3answers
76 views

Analysis of Kullback-Leibler divergence

Let us consider the following two probability distributions ...
0
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0answers
25 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 ...
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0answers
15 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 ...
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0answers
25 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
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3answers
671 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
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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: $y=0.0263x + 17.292\,,\quad R^2 = 0.09617$ $y= 0.0121x + 18.873\,,\quad R^2 = 0.01528$ ...
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0answers
60 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 ...
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0answers
32 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
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0answers
64 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
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0answers
28 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
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1answer
68 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
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1answer
30 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 ...
0
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1answer
15 views

Interpretation of two indexes Interaction Term

Respected Fellows. I will thankful if someone help me to explain my model results.my model is as follows. Yit=αPFit+βPSit+δ (PF*PS) it+εit Where Y is GDP per capita PF=Political Freedom Index ranges ...
0
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1answer
74 views

Interpreting CCF correlation in R

I am using ccf to find a correlation between 2 time series. I am getting a plot that looks like that: Note that I am mainly interested in correlation for the ...
2
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0answers
48 views

ACF and PACF plot analysis

I am new to ARIMA, and I am trying to understand these lag plots. Are the following ACF and PACF suggesting that the lag of my time series is 4? If I am wrong, please help me understand these plots. ...
0
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0answers
32 views

Simplifying numerous dummy variables

I'm looking into a regression analysis to compare the time it takes to award public contracts across different countries but holding some other variables constant is proving challenging. The set of ...
5
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3answers
126 views

How to interpret coefficients of $x$ and $x^2$ in same regression

If I have the below functional form for an OLS regression, how do I interpret the $x$ and $x^2$? I cannot interpret them separately, correct? Do I interpret them as a summation of the two ...
0
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1answer
43 views

Interpretation C value in linear SVM

My C value is very low (close to 0). Does this mean that my feature (dimensions) have no real separative (and thus predictive) value? (As the SVM basically chooses to ignore the training data ...
0
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1answer
7 views

How to interpret factor coefficients regarding unobserved values?

I am presented with a linear regression result that yields the following coefficients: ...
2
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1answer
17 views

Predictor subset of another predictor in linear regression model

I have a linear regression model such as $Income_i = \alpha + \beta_1 Primary_i + \beta_2 Secondary_i + \beta_3 Tertiary_i + u_i$ where my predictors $Primary, Secondary, Tertiary$ are dummy variables ...
0
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0answers
30 views

Interpretation of Linear SVM Coefficients [duplicate]

I’m building a model using Linear SVM from the Scikit-learn package in Python. I have found that Linear SVM performs much better on my training set than Logistic Regression. My question is, is there ...
0
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0answers
46 views

How to convert Spearman's $\rho$, and Cramér's V to Cohen's $d$?

Is there a way to convert both, Spearman's $\rho$, and Cramér's V into the same effect size (f.e. Cohen's $d$), in order to have an information about which of the underlying relationships ...
0
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0answers
17 views

Interpret an Expected Value of Sample Information graph

I am working on a model and I have calculated the EVPI, EVPPI and the EVSI. I need to interpret the graph of the Expected Value of Sample Information (EVSI), what should I say? The graph consists of ...
2
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1answer
63 views

Interpret Pearsons correlation output from R

I have conducted Pearson's correlation in R and need help interpreting the results. ...
13
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2answers
384 views

Subjectivity in Frequentist Statistics

I often hear the claim that Bayesian statistics can be highly subjective. The main argument being that inference depends on the choice of a prior (even though one could use the principle of ...
3
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0answers
71 views

How to interpret Pearson's $r$, Spearman's $\rho$, Cramér's $\phi_{c}$ and Cramér's $V$ correctly?

Is it right that both Cramér's $\phi_{c}$ (and consequently Cramér's $V$ as well) are similar to the Pearson correlation coefficient, $r$, (and so, to Spearman's $\rho$) in its interpretation, as it ...
0
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0answers
71 views

Please help with basic interpretation of an insignificant interaction. (With significant main and conditional effects)

I have a very basic understanding of statistics, and have done many correlations and regressions or simple t-tests, but never an interaction and it is confusing me a bit. I only need to understand the ...
4
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6answers
145 views

How to explain borderline p-values to non-stats people

I ran an OLS regression, and the p-value of one variable is 0.065, which is more than the threshold to consider statistically significant. However, it's not too bad either, as my data has only 300+ ...
0
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0answers
45 views

GLM with multiple categorical variables in R : how to interpret the result?

I have a binomial variable that I regress against different categorical variables which I have contrasted to build a reference of an individual Female, Married, aged 35-45, High education : ...
0
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1answer
27 views

Reparametrisation of a model when an interaction is significant to facilitate the interpretation

It is admitted that it is complex to interpret main effects when they are involved in an interaction. Lets take a regular linear model, with two categorical 2 level variables A and B who are ...
0
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0answers
9 views

different 'dimensions' of variation

Suppose I am interested in income elasticity of households for a particular good. I essence, it is a function of income. Now, I have two ways of how I can get the data (different types of data): 1) ...
2
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1answer
98 views

Analysing regression results

This question is a bit embarrassing, but I do not have much experience of statistical analysis. The problem I have is that the analysis I do of the results in my paper is so meager. My results from a ...