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

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1answer
22 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
18 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
30 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 ...
4
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3answers
110 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
26 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 ...
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0answers
5 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
15 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
28 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 ...
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0answers
28 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 ...
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0answers
10 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
50 views

Interpret Pearsons correlation output from R

I have conducted Pearson's correlation in R and need help interpreting the results. ...
10
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2answers
346 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
59 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 ...
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0answers
32 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
123 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+ ...
-3
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0answers
33 views
0
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0answers
25 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
21 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 ...
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0answers
7 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
95 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 ...
1
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1answer
26 views

How to interpret constant with different dummy interaction terms?

I would like to analyse the impact of Fund Size on Mutual Fund Performance by using quintiles (based on fund size). My approach is to look at the effect within each quintile to conclude uniformity of ...
0
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0answers
31 views

Interpretation and understanding results from a chi square test for independence

I'm making a chi square test on data that has information about students. I want to find out whether there is a relationship between how well the students did on a particular test and the level of ...
1
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1answer
46 views

Estimates from a log-linear regression model

I am estimating a economic growth regressions using dynamic panel data. My specification is as folllows: $$\ln Y_{i,t} = a \ln Y_{i,t-1} + bX_{i,t} + e_{i,t}$$ $Y$ measures income per capita $X$ is ...
0
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1answer
61 views

Interaction in logistic models with R. Using * operator or create an interaction variable?

I want to test the presence of an interaction term in a logistic regression with glm(). The formula is: ...
0
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1answer
27 views

Interpretation of categorical variable level interaction in a linear model/ ANOVA

This is similar to an earlier question which was never answered... Interpretation of interactions between categorical data... and which is much shorter so no problem if you would like to read/answer ...
1
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0answers
36 views

How to perform statistical test for enrichment of gene lists?

In a typical ChIP-Seq experiment, we found a transcription factor ABC peaks on 590 genes. 242 genes out of the 590 genes are classified as ...
1
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0answers
28 views

Analysis of mcmc output

I have a sequence of Bayesian Networks for del with more epochs. For example if i work with trafic on street I can have a BN for morning, one for afternoon e one for evening. If i collect data for ...
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0answers
53 views

How to interpret log fold change with negative values

I am trying to use the limma package to test some data. The data can have negative values as well as positive values and I'm trying to compare between condition 1 and condition 2. Example: ...
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0answers
67 views

Interpreting Augmented Dickey-Fuller in R

I know that this has been discussed before, but those discussions did not really answer my questions. I know how the ADF test works, but I am having trouble interpreting the output for the three ...
6
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4answers
179 views

Help to interpret an interaction plot?

I have trouble interpreting interaction plots when there is an interaction between the two independent variables. The following graphs are from this site: Here, $A$ and $B$ are the independent ...
2
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2answers
57 views

How to interpret multiple factors in model output in R

I am well aware how to read the model summary in R for a regression model when a factor is included. The "first" level, in terms of ABC, is regarded as the base level to which all further levels of ...
1
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1answer
33 views

Interpretation with training and test set with standardized variables

I've standardized all the variables (even the response variable) and then I've split my data into a training and test part. And for example, I've got the following model based on my TRAINING set: y = ...
0
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1answer
38 views

Interpretation model with logarithm and square root

How do I interpret this model: $$ Price = -7.095 - 9.471[\ln(Number Of Different Kinds Of Fruits)] + 53.942 \sqrt{Number Of Customer} + ... $$ Is that: If there are no kinds of fruits nor visitors ...
0
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0answers
31 views

How to interpret coefficients in the spatial lag and spatial durbin model?

How do I interpret the coefficient for the spatially lagged dependent variable in the spatial lag model or spatial autoregressive model (SAR) (y = αιn + ρWy + Xβ + ε) and how do I interpret the ...
2
votes
1answer
45 views

Offset in Poisson regression

Consider an offset term in a Poisson regression: $$\log \mu_x = \log t_x+ \beta_0 + \beta_{1} x$$ To interpret $\beta_0$, would you need to consider $(\beta_0+ \log t_x)$? Because what if $t_x \neq ...
2
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0answers
71 views

How to interpret canonical correlation analysis

I have done a canonical correlation analysis using the American Community Survey Dataset. The analysis is done between Ancestry and ...
0
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0answers
34 views

Interpretation when only the squared term is significant

I am using a Poisson model. My theory suggests a positive $X_1$ and a negative $X_1^2$. However, the results show an insignificant, positive estimate for $X_1$ and a significant, positive estimate for ...
0
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0answers
58 views

Interpreting Granger causality test's results – i.e. $X = f(Y)$

The following is generated using http://www.wessa.net/rwasp_grangercausality.wasp: ...
2
votes
1answer
39 views

How do I report Lasso results in an article?

I am using Lasso to reduce my number of variables and I have identified which variables had been retained after running my analysis (e.g. yrseduc, age). However, I don't know which numbers I should ...
3
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1answer
115 views

Creating and interpreting Bland-Altman plot

Yesterday I heard of the Bland-Altman plot for the first time. I have to compare two methods of measuring blood pressure, and I need to produce a Bland-Altman plot. I am not sure if I get everything ...
1
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1answer
46 views

Interpreting transformed dependent and independent variables [duplicate]

How would I interpret a transformed dependent variable (4th root) with some of its predictor variables transformed as well? In our study, we transformed our dependent variable to 4th root, ...
2
votes
1answer
46 views

Dummy variable interaction

Consider the following model: $wage_i = \beta_0 + \beta_1male_i + \beta_2private_i +u_i$ where $male_i=1$ if male; $0$ if female, and $private_i=1$ if private school; $0$ if state school. The base ...
3
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0answers
31 views

GEE Combined with Linear Mixed Model

Suppose we have a linear mixed model with outcome variable $Y_{ij}$ and covariate $X_{ij}$. In particular, suppose we have a random intercept model: $$\mathbb{E}[Y_{ij}|b_i, X_{ij}] = \beta_0+b_i+ ...
0
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1answer
52 views

Interpretation of NbClust result

The plots show the output of NbClust(). By looking at the plot, is that correct to say that k=5 is the optimal number of ...
2
votes
1answer
46 views

Interpreting LASSO tables in SAS

I have been working on LASSO in SAS lately, and I'm still trying to figure out how to work with the options, but my main question for which I have not been able to find an answer on the internet so ...
0
votes
1answer
45 views

Interpreting linear regression with NA for estimates

I have 3 variables. Income is the dependent variable(continuous), sex(binomial), workhrs(categorical) i fitted a linear model and obtained the result: My question is: Is this model usable? The NA ...
0
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0answers
38 views

Understand the parameters for multiple regression - question based on the notations in a given algorithm

I've set up a regression model but am not sure if I'm doing it right. I'm using multiple regression to help do multi-class classification. So far I feel like I've understood the theory, but I'm ...
2
votes
1answer
30 views

Correct expression of confidence level

A very basic question: when noting the statistical significance of fitting some model, does one report that results are significant at the 95 percent confidence level, or at 0.05 significance?
0
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0answers
26 views

Interpretation of marginal effect of probit model

I am quite new with probit models and I recently asked some questions about one of model. I was wondering of one of you could help in interpreting those results. FYI all dependent variables are ...
1
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1answer
33 views

Regression and link function

Suppose we have $E (\log (Y)) = a+bx $ vs $\log (E (Y)) = a+bx $. Can $\exp (b) $ in both cases be interpreted as a geometric mean?