Stack Exchange Network

Stack Exchange network consists of 174 Q&A communities including Stack Overflow, the largest, most trusted online community for developers to learn, share their knowledge, and build their careers.

Visit Stack Exchange

Questions tagged [interpretation]

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

1
vote
0answers
23 views

Building and interpretation of regression models

Coming from the world of classification I struggle to understand how to properly build and interpret regression models. Some tutorials only build models on the training data to make conclusions. ...
2
votes
0answers
16 views

Best textbook on philosophical background of interpretations (for beginners)

I'm looking for the best textbook teaches basics of statistics for a general researcher (undergraduate) without totally ignoring the mathematical proofs and theories while the main emphasizes is on ...
0
votes
0answers
14 views

How to interpret the interaction between multicategory categorical variables? [duplicate]

My outcome of interest is "disease or non disease". I have two categorical variables A (age group in years- 1-5, 5.1-10, 10.1-15, 15.1-19) and B (place of residence- Ba, Bb, Bc). I have fitted ...
0
votes
0answers
8 views

Using a bi- variate Vector Auto-regressive model on 2 assets

I have two assets in a time series with serial auto correlation. I want to find the relationship between them. Ie. If Y1 goes to up 10% Y2 should move up 5%. I would also like to know, if Y1 is 100 ...
0
votes
0answers
8 views

SPSS - Where is model equations? (Temporal Cusal Models) [on hold]

I used "Create Temporal Causal Models" option in SPSS (v. 25). The output is full diagrams, statistical tests etc., but where can I find the model equation? Manual says this "The procedure then ...
0
votes
1answer
29 views

significant Interaction between a significant discrete variable and non significant continuous variable

In my dataset, I have to test the effect of humidity on the height of plants. However, we have an extra effect which is nitrate on height. Each plant had a nitrate measurement but we had one group in "...
1
vote
1answer
24 views

Binary classification and target-label proportion

Suppose that we have a binary classification problem with a vector y = [1 1 0 1 0 0 1 ... 0] having the proportion: ...
0
votes
0answers
48 views

How to Interpret the result of generalized linear mixed model?

I ran a generalized linear mixed model using lmer in R, and I'm struggling how to interpret the result. The response variable is a result of 25 consecutive binary choices. The point where I'm stuck is:...
1
vote
1answer
50 views

Interpretation of different logistic regression models to test hypotheses

I would like to test two hypotheses, but I am a little bit confused. I have a binary dependent variable z, my key variable a is ...
0
votes
0answers
13 views

R: One way within ANOVA output

I'm running a One Way within subject ANOVA in R as follow: testSlopeOneW=aov(Slope~Confidence+Error(Subject/Confidence),dat) Subject and Confidence are factors, ...
1
vote
0answers
14 views

What are the differences between LIME and SHAP as model interpretation techniques?

Model interpretation has been an important area of study nowadays and because of that some different techniques have risen to help on this task. Maybe the two most famous ones are LIME and SHAP. How ...
0
votes
0answers
19 views

What does the estimate in a bayesian zero-and-one inflated beta regression tell me?

This is a very basic question and I hope you bear with me nevertheless. I've conducted a zero-and-one inflated beta regression using brms. My model is quite complex with a count data DV, containing ...
0
votes
0answers
20 views

How to interprete Granger test results?

The results of my Granger causality test in R are below. VARp is my VAR model and I have two endogenous variables. From the results, I have only instantaneous ...
0
votes
0answers
15 views

family GARCH persistence condition with GJR GARCH and sged distribution

I am trying to fit the family GARCH model of Hentschel (1995) with GJR-GARCH(1,1) as a submodel. ...
-1
votes
0answers
39 views

How to interpret Normal plot shaped like sigmoid? [duplicate]

Taking the mean and standard deviation of gene expression dataset of control vs diseased samples like: ...
0
votes
1answer
22 views

Coefficient interpretation in multiple regression

I have a question regarding interpretation of coefficient that I've never seen it before. Regression model : In this regression model, how can I interpret beta 1? there is partial derivative.. and ...
1
vote
1answer
14 views

Interpretation of learning curve (training & validation)

I know what a learning curve representative of an "ideal" overfitting looks like. However, I am not 100% sure how to interpret the learning curve shown below. Why does the model sometimes seem to "...
0
votes
0answers
14 views

Selection of regression model for prediction and interpreting quadratic regression results

I am regressing between the body mass and eye diameter in different bat species. The relationship is non-linear (picture attached) as the eye-size cannot increase linearly with respect to body size ...
0
votes
0answers
24 views

Principal components: Can I interpret PCA as essentially a change of basis

I was hoping that someone could simply validate or correct my interpretation of Principal Components Analysis. There are a lot of questions on this site about Principal Components analysis--some ...
0
votes
0answers
14 views

Non-significant three way interaction but three significant two-way interactions

I am analyzing results of an experiment with the help of a 2 (Group) x 2 (positive or negative mood) x 3 (baseline vs after mood induction vs follow up) repeated measures anova. For one dependent ...
0
votes
0answers
20 views

Need Help Interpreting Interaction Terms in Regression Analysis

I am analyzing an ad campaign that happened in Florida. I have data on 2 states. My model is as follows: Weekly Revenue = B0 + B1 * Florida Dummy + B2 * Time Period of the Ad Dummy + B3 * (Florida ...
1
vote
1answer
116 views

Ramsey's reset test (i.e. Omitted variable bias test) result interpretation

I have the Ramsey's reset test result to find whether my regression has any omitted variable bias. I have the following result and shall I say I do or do not have omitted variable bias and why? ...
0
votes
0answers
8 views

Composite scores from Likert scale and Likert style question items

I am conducting a study on language in job advertisements. My hypothesis is Age-exclusive language in job postings is a) negatively related to organizational attractiveness from applicants aged 40 and ...
0
votes
0answers
69 views

How to interpret Friedman's rank sum test?

I'm unfamiliar with non-parametric tests and I have this data ...
2
votes
1answer
26 views

Interpreting correlation coefficient after log transform

I have a pair of variables X and Y that exhibit non-linear relationship. The relationship is linearised by applying log10 transform to both (checked using scatter plots). Untransformed variables have ...
0
votes
1answer
37 views

Mediation, low R^2

I am currently working on my model in which I would like to test mediation effects. In my model following applies Y-company attractiveness X-type of application (digital vs nondigital) and M-...
0
votes
0answers
19 views

Interpreting $\Delta\log(y_t)$ regressed on $\Delta\log(x_t)$ with dummies

I did an ARIMA regression of log(GVA(t))-log(GVA(t-1)) on log(M1(t))-log(M1(t-1)) and time and level variable, where ...
2
votes
1answer
61 views

Is this interpretation of prediction intervals correct?

I have a regression model relating to a ''normal'' population. If a new observation which corresponds to point $x$ is outside the prediction interval at $x$, do I have a reason to suspect the new ...
0
votes
0answers
12 views

Significant differences with Tukey test

I ran a statistical analysis in SPSS and with the Tukey test I want to determine significant differences between means. Let's take three of the means I got: Sample A: Mean = 3.000 Sample B: Mean = 3....
0
votes
1answer
35 views

Interpretation of variable in a probit model

I am struggling interpreting the coefficient of a variable which is expressed as a proportion in a probit model. As it currently stands , I am interpreting the average partial effects of this variable ...
0
votes
1answer
17 views

Log-transformed DV and coefficient of interaction term

I am having difficulty interpreting the significance of positive tone (measured as percentage of words in a sentence that are positive in tone) for females and males. The following is the regression ...
0
votes
0answers
24 views

Hierarchical multiple regression and importance of individual predictors across multiple analyses

I'm currently reading an empirical study using regression and want to determine whether to consider it a trustworthy, well-analysed piece of literature. I'm more familiar with ANOVA models, so I was ...
1
vote
0answers
122 views

Interpreting Root Mean square Error (RMSE )when dependent variable is log transformed

So I have developed a model to predict the house prices in a county.I log transformed the target variable (home price).I split the data into training and testing sets.I trained the model on the ...
2
votes
0answers
44 views

Partial Effects Plots vs. Partial Dependence Plots for Random Forests

One method for interpreting the relationship of a predictor X to the response variable Y in a fitted multivariate regression model is a Partial Effects (PE) Plot. This can be generated by holding ...
0
votes
0answers
13 views

How to interpret the probability density function exceeding one over a finite interval? [duplicate]

If one looks up 'Frechet Distribution' on wikipedia, one will find the following figure in the top-right of the page I was under the impression that the integral of the PDF function taken from ...
0
votes
0answers
42 views

Interpretation and practical significance based on multiple linear regression coefficients

I am having difficulty articulating the practical significance of positive and negative tone in job application cover letters for male and female job candidates. I obtained the following linear ...
1
vote
2answers
50 views

Cox model regression - interpretation of survival graph

I fitted a Cox model and plotted that kaplan-Meier curve with a library survminer and survival in ...
0
votes
0answers
18 views

How to define “top users” of a group

I have N users, ordered by the number of purchases they made in a period of time and I want to find a "scientific" criteria to classify them into normal users and top users, being the top users the ...
3
votes
1answer
30 views

Difficulty understanding contingency table and logistic regression coefficient

I have the following contingency table D not-D E 980 122 not-E 2420 6439 where D may stand for disease, and E for exposure. This leads to the ...
3
votes
1answer
272 views

How to interpret the result of Friedman's test?

I uploaded the data and then I used bootstrapping to have 10 different samples from the original data but with the same length as the original data. For each sample, I used 7 distance metrics, and I ...
0
votes
0answers
18 views

Additive Regression model, General Additive models

After training an additive regression model such as GAM I get a series of smoothened outputs of splines (for each predictor over all points). Now how will I use this data to apply on a test point, ...
2
votes
1answer
42 views

Predictive distribution: What can we say about the prediction?

I am wondering what could we obtain more from the predictive distribution. Give a set of data, say $\mathcal{D}=\{(x_i,y_i)\}$, we want to predict the value s$Y_{new}$ at new locations, say $X_{new}$. ...
0
votes
1answer
13 views

MVT/ABn pricing test comparison

I have results for a a 5 variant pricing test: A 0% (control group) B +5% C -5% D +10% E -10% Below are my results (all normalised to give if exactly 20% of traffic goes through the variant, ...
1
vote
1answer
63 views

logistic regression interpretation with multiple categorical variables

I know the question is easy but I didn't manage to find an answer (in case, a link to a similar question would help, thanks). I have a simple logistic regression model with 2+ categorical predictors. ...
0
votes
0answers
21 views

Partial dependence plots and high correlation between variables

I was wondering if it's OK to use partial dependence plots when some of the variables are highly correlated. Is it OK to interpret the results as always?
1
vote
1answer
36 views

How to interpret a seasonal ARIMA model?

I have an auto.arima model output with ARIMA(000)(110)[4] with sigma^2=0.005, so I assume the model fits well the data. But I'm trying to understand the model itself... If I did all the maths ...
0
votes
0answers
13 views

Confidence intervals interpretation in whole population studies. Can they represent replication variability?

I got the surgery time of each surgery ward patient. I want to compare the mean surgery time of each ward using a series of regressions in which the independent variable is being or not in a specific ...
1
vote
0answers
39 views

Interpreting linear regression results in SPSS

I am using linear regression to look at the relationship between some variables using SPSS but I'm having trouble understanding the results: In the table of coefficients, I know most of the rows ...
1
vote
1answer
48 views

Exact MCMC Logistic Regression Output

I am having trouble interpreting the output of an MCMC Logistic Regression run using R from the MCMCpack. Unfortunately I have had very little luck in finding sources on the web. I am assuming that ...
0
votes
1answer
35 views

Interpreting the robust linear regression

Is the way that we interpret the coefficients of a robust linear regression (rlm function in R) is the same as the OLS regression? Can I interpret the coefficient of a robust regression (...