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

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Is it possible to get an interaction in Split Plot ANOVA (p = .02) and at the same time get a profile plot for estimated marg. M with no interaction?

In Split Plot/Mixed Design between-within (2by2 ANOVA with 3 DV) I got a significant interaction for one of my DV at F(1,196) = 5.467, p = .02. But when checked a profile plot for estimated marginal ...
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2answers
31 views

How to interpret R Pearson's correlation test?

I am trying to learn a bit of R and statistics so as "toy project" I have started from the famous Iris dataset (150 rows, 3 classes). I have applied to two features the "correlation test" in this way: ...
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12 views

How to report the results of a GLM from R output

I am currently writing up my 4th year dissertation in Ecology having completed fieldwork and analysis on the effects of various environmental variables on Butterfly abundance. I have conductuded a ...
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1answer
21 views

The meaning of Classification Accuracy

I'm working on San Francisco Crime dataset, and only get about 20% classification accuracy. I used Random Forest Method. So how I can Interpret the result? I did EDA firstly, but how can I use EDA to ...
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1answer
19 views

How to interpret a log transformed (x+c)? [duplicate]

I need to use log-log regression and because I have lots of zero values I tried to add a very small constant c=8E-12 to x and it works pretty good. Xs are very small probabilities. lnY= a + b ln ...
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23 views

Does rounding introduce variance into estimates?

It is often recommended to round parameter estimates to avoid suggesting more precision than the data really have, e.g. here. I understand rounding does not introduce bias, as long as an unbiased ...
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0answers
7 views

VAR impulse response interpretation when differencing

I am trying to formulate a way of how to think about differencing when interpreting impulse responses produced by VARs. There are two different views I came up with. First view is that a temporary ...
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31 views

Correlation & Stationarity

In a purely historical or backward-looking, descriptive context, is it incorrect to naively compute the covariance $$ \mathbf{E}(XY) - \mathbf{E}(X)\mathbf{E}(Y) $$ and Pearson correlation coefficient ...
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8 views

What is the difference between a cross-level Interaction and a random slope in a mixed effect model?

Can someone please articulate the differences between a "cross-level interaction" and a mixed effects model? Two areas that are unclear: - Are all random slopes the same as "cross-level ...
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10 views

How to interpret glmmPQL summary value

I'm doing a GLMM with quasi-Poisson to check for a spatial correlation between some predator bugs and their prey (count data of predator and prey + added distance of plots). I've added everything into ...
3
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1answer
66 views

Kolmogorov–Smirnov test vs. t-test

I'm having some difficulty in understanding the interpretation of the 2 sample KS test, and how it is different from a regular t test between 2 groups. Lets say I have males and females doing some ...
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1answer
34 views

Intuitive explanation of logloss

In several kaggle competitions the scoring was based on "logloss". This relates to classification error. Here is a technical answer but I am looking for an intuitive answer. I really liked the ...
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24 views

Interpretation of coefficients

I know that probably a lot of people already asked about the interpretation of coefficients especially in log-linear models. Unfortunately, I was not able to find an answer to my specific question: I ...
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0answers
19 views

How to identify the prediction equation from a regression model using splines

I find it difficult to connect the coefficients of a regression model that includes splines to the actual prediction equation. For example, how could that be done with the following model? ...
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1answer
22 views

Interpreting t-test results : Need a sanity check regarding t-statistic sign

Rookie stat question here, hoping to get a sanity check... So lets say that I have two groups, A and B. I run a two tailed t test in R, t.test(A, B, var.equal = TRUE). If my t-statistic value ...
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1answer
56 views

Understanding the price elasticity interaction in a regression model

The question that follows is derived from a SAS User's Group paper available on the web (Price and Cross Price Elasticity Estimation Using SAS). The objective is to calculate price elasticities (own ...
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6 views

Coeficient Interpretation

I am analysing two price series, one reflects the international price while the other reflects the price of the same product in a domestic market. Both time series are real ($ of march/16). The unit ...
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1answer
29 views

Interpreting T Test results from R t.test()

Background on what I am doing... I have 31 years of Landsat satellite data, and have extracted spectral reluctance and calculated 13 unique spectral based vegetation metrics for a series of 16 field ...
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0answers
20 views

Mismatch Between the Parameters of a Logistic Regression in R and My Computed Parameters

By converting and by trying to interpret the parameters of a logistic regression ran in R, I just find them to be overestimated. Therefore I tried to compute them myself but I can not obtain the same ...
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35 views

How to interpret and explain negative coefficients when they do not make sense

I have seen appearance of negative coefficients where they do not make sense (the data is related to costs where negative coefficient should not appear). If regression models are fitted to individual ...
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7 views

How to interpret coefficients in ordinal logistic regression with partially relaxed proportional odds/parallel lines assumption?

Suppose I estimate an ordinal logistic regression model: $Y$ ~ $\beta_1X + \beta_2Z$ where $Y$ is the ordinal-scale dependent variable with $y = 1, 2...k$ responses. $X$ and $Z$ are independent ...
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0answers
12 views

Weka Experimenter Tool (xx/yy/zz) explanation

I am using Weka experimenter tool and I need help to fully understand how this count works. I found this explanation in a paper: The annotation v or * indicates that a specific result is ...
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0answers
35 views

interpretation of interaction term and main effect

[![enter image description here][2]][2] Short summary: I want to examine of a multinational has a higher effective tax rate ( ETR=dependent veriable) compared to small companies and large domestic ...
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15 views

Cox PH model with quadratic effect interpretation

I'm fitting a Cox model with non-linear continuous variable with and without a time varying effect (to correct non-PH). My goal is to get risk ratio (hazard ratio) associated with X. I have the Cox PH ...
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1answer
21 views

How do I treat a fairly strong correlation of a predictor to the output variable?

As one of the preliminary steps in my data analysis project, I am looking at a correlation table I made of my potential predictors and one output variable. There is no significant information overlap ...
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1answer
12 views

Correlation of levels vs. differences vs. percents

Sometimes, I have seen people using correlation of levels, correlation of differences and also correlation of percent changes. I understand these answer different questions. For example, for "what is ...
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25 views

How to interpret nested interactions?

Consider a data set where you have a tenure variable that takes non-negative values (e.g. from 0 to ...
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3answers
173 views

Interpretation of moderately correlated predictors in linear model

I have understood why it's a bad idea having highly correlated predictors, what is puzzling me is a meaningful interpretation of moderately correlated predictors(correlation < 0.3). Let's suppose ...
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0answers
17 views

Explanation for negative cross-price elasticities if the two alternatives cannot be complements

I would like some help in interpreting some odd cross-price elasticities that I got from my model. I estimated the following multinomial probit model and calculated the elasticities post-estimation: ...
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1answer
37 views

Interpreting Kolmogorov Smirnoff Test

I have two sets of data and I want to determine whether they come from similar distributions or not so I am using the Kolmogorov-Smirnoff Test. So I understand that if I get a p-value of less than ...
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1answer
31 views

Interpretation of first and second order interaction effect

I'm actually reading the book "A handbook of statistical analysis using SAS" When talking about an ANOVA analysis the author discuss the results of a model in which a dependent variable is analyzed ...
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20 views

Interpreting and Using Logistic Regression Parameters

I have estimates from a simple logit regression, which comes a simulation based on a previous question. Here are some results: Observed shares: 0.888, 0.112 Actual Parameter values: 0.85, -0.8 ...
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2answers
47 views

What is an intuitive explanation for the interaction of factors in a multiple regression?

How should one proceed when the interaction of predictors in a multiple linear regression is significant? I'm really after an "explain like I'm 5" type of explanation. Even better if it's supported ...
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21 views

Interpretation when Linear Combination of Coefficients in linear regression is not significant

I have a linear regression (OLS) and was told that I could use Linear Combination of Coefficients (lincom with Stata) to analyze the influence of those variables. Unfortunately, my stat skills are not ...
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2answers
61 views

Conflicting interpretations for coefficient of log transformed predictor

If you think this is a duplicate, please have a look at the last paragraph. In a regression model where both dependent ($Y$) and independent ($X$) variable are in natural logs, what is the exact ...
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32 views

Interpreting ACF Plots

I need help interpreting this ACF plot. It was produced on R, where the function acf(ammns) was applied. "ammns" is the annual maxima of rainfall extracted from a dataset of monthly total rainfalls, ...
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0answers
14 views

Interpreting model coefficients containing logged, scaled and scaled-logged variables

I'm interested in interpreting estimate/coefficient results from a linear model where the dependent and independent variables are all scaled and the dependent variable is logged as well as some of the ...
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0answers
44 views

Bootstrap logistic regression with rare events and rare outcomes and rare predictors

I am recently using bootstrap for statistical inference and confidence interval building in the setting of regression, especially logistic regression. In many works I've been doing I find that using ...
3
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1answer
36 views

A very high number of dummy variables in a model

Consider a following model of lenders and borrowers:$$\triangle Loan_{ij}=\alpha+L_{i}+\beta_{j}+\epsilon_{ij}$$ where $L_{i}$ is a dummy variable for lender i , $\beta$ j is borrower j and ...
3
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1answer
69 views

aov() versus ezANOVA F-values

As I understand it aov() is a Type I SS ANOVA. I have followed online advice on how to change its output to Type III. I have also run a Type III ...
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2answers
100 views

How can one interpret the Stata output for Multiple Correspondence Analysis?

As an alternative to conducting exploratory factor analysis on a set of data, with binary responses, I have been suggested to use Multiple Correspondence Analysis (MCA). Following is a curtailed and ...
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1answer
31 views

How to interpretate the level of Kendall's Tau-b

Besides saying that an relation is positiv or negativ is it possible to interpret the Kendall's Tau-B depending on its level? E.g.: I have two significant values 0.2 and 0.6, would be the ...
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1answer
33 views

Do I have to add extra terms to a regression model?

Data: I have monthly temperature data for 90 years along with a climate index ('pdo') that influences temperature. Scientific question: is there a linear trend in temperature across time? I've ...
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0answers
30 views

Interpreting regression coefficients with a multi-level categorical variable [duplicate]

How do I interpret the coefficients of a Regression w/ 1 continuous + 1 categorical predictor (w/ 4 levels - e.g., months) Specifically, is the 1st coefficient equal to that of the 1st month or equal ...
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0answers
30 views

Logistic Regression Vs Simple Regression [duplicate]

I am new to this area of regression analysis why do we select ${e^{\beta x } }/{[1+e^{ \beta x}]}$ as $p\{Y=1|X\}$ or how to get $E(y |x )$ in the case where $y$ is dichotomous.
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24 views

ANCOVA interpretation

I have a continuous independent variable (AGE_CONT), a categorical independent variable (EXP_CATER, within subject, three ...
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0answers
24 views

How to interpret categorical data in model selection table

I am trying to interpret a categorical result in my AIC model selection table. The model is a glmm binomial distribution with individual pair (dyad) as the random factor. The categorical result I ...
2
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1answer
41 views

Fitting Zipf Mandelbrot and use Chi-square test in R

I have a dataset with hashtags and their frequencies (~370k frequencies), as for example (after a sort): ...
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15 views

Merging quality parameters into one

I am analyzing data from an OPC server that logs process parameters including three quality parameters. These three quality parameters together determine the overall quality of the output. Therefore, ...
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0answers
5 views

Easy way to interpret an Evaluation a multi class model

I am working on training a classification model for 38 different classes. When i tried to evaluate it's performance by using Crosstable from Gmodels package, It was very hard to interpret, Any ...