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

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18 views

How can the relative importance of a categorical variable in a linear regression model be determined?

A simple example can be seen here:http://www.ats.ucla.edu/stat/spss/output/reg_spss.htm Gender is a dummy coded variable. I completely understand how to interpret this variable. I cannot use the ...
3
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2answers
67 views

Is it an assumption of the normal linear model that explanatory variables are uncorrelated with the errors?

Some books seem to include an assumption for the normal linear model which I have never seen before. They say that there must be no correlation between between the explanatory variables and the ...
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0answers
17 views

Reference on interpretation of similar observed values and average adjusted predictions

I analyzed the association between a count dependent variable (DV) and a dummy independent variable (IV) (coded 0 and 1) ...
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0answers
4 views

Interpreting Two-sample Kolmogorov-Smirnov with jerzy

I am using the project jerzy to run a Two-sample Kolmogorov-Smirnov test in Javascript, regarding another question I asked on stats.SE: Timing attacks: When the time to complete two different tasks ...
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0answers
21 views

Deterministic Model and Stochastic Model

Deterministic model involves no randomness, where as stochastic model involves randomness. An example of deterministic model is: return of $5$years of investment with an annual interest of $7$% . An ...
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7 views

Exporting R lm model with multiple dependent variables to csv [migrated]

I have the following lm with a vector of dependent variables: ...
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1answer
55 views

In what sense is the interpretation of coefficients in a GLMM subject-specific?

There is something I'm not quite understanding conceptually about the output from generalized linear mixed models. I have read that the target of inference in GLMMs is subject-specific. For example, ...
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45 views

Interpretation of output generated by PROCESS macro in SPSS for model with two moderators

I used the PROCESS macro for SPSS from hayes to regress a model where det_mean is the indepedent variable and y_tot the depending variable. I'm testing if this relation is moderated by two variables ...
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1answer
44 views

Interpreting output of Cox regression model

I am trying to use two variables - activity score (ascore - a whole number indicating amount of activity) and gini (given by Gini-Simpson index - a value ranging between 0 and 1, indicating diversity ...
2
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1answer
69 views

Confused about 0 intercept in logistic regression in R

I'm exploring the effects of removing the intercept in a logistic regression model. Assume a model: $$logit(Y = 1) = \beta_1 x + \beta_2z + 0$$ with $x$ and $z$ being categorical variables with 2 ...
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0answers
12 views

Conjoint simulation output

I am doing a traditional conjoint study with 3 attributes (brand,price and applicator) each with three levels. I asked respondents to rate the profiles from 1 to 9. Now I run 2 simulations with 9 ...
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0answers
15 views

Mean Absolute Scaled Error

Right now, I am analyzing the prediction quality of a dynamic model that has variables with different units (e.g. $x_{1,t}$ is in meters, $x_{2,t}$ is in kilograms etc.). I have discovered a great ...
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1answer
20 views

How do I know if this jump is going against the downwards trend?

I'm looking at some accident statistics and have a question about how it's reasonable to interpret the data. The numbers are fatalities in traffic accidents, and I want to discuss a newspaper article ...
2
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1answer
56 views

three-way-interaction between two continuous and one binary variable using OLS stata

I'm facing difficulties in interpreting a three-way-interaction term. I'm using OLS and the three-way-interaction term is significant. Y is the response variable (continuous), X the predictor ...
2
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1answer
57 views

Interpreting Reaction Time data with mixed-effects model

I have a problem with interpreting Reaction Time results with mixed-effect models. In the experiment, participants were split into 2 conditions. They looked at the same set of pictures and then took ...
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0answers
38 views

Understanding correlation between Multiple Intelligences (MI) and digital technology competency

I appreciate all the help I can get to help me understand. The research reported here is about whether there is a correlation between multiple intelligences (MI) and digital technology competencies. ...
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1answer
69 views

Understanding confidence intervals in Firth penalized logistic regression

I recently discovered penalized likelihood ratio methods to cope with sparse and/or separated data. I'm having some problems though in understanding the results a logistic regression using Firth ...
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1answer
29 views

Proof of optimality of mean squared loss

Suppose I am building a predictor for $y = f_w(x) + noise$ using some framework with parameters $w$ (linear regression, neural networks, etc.) given a number of training examples $\{(x_i,y_i)\}$. I ...
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0answers
22 views

Is this interpretation of mixed ordinal logistic regression correct?

I am doing mixed ordinal logistic regression using clmm function in ordinal package. Before running the clmm model I have changed my DV into ordinal variable using: ...
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1answer
55 views

Interpretation of odds ratio

Can anyone help me interpret the results on the attached figure (drivers of preterm birth in Missouri)? This is the result of a multivariate logistic regression analysis. What can be inferred from ...
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0answers
30 views

$3^3$ factorial design

Suppose in a $3^3$ factorial design, factor A has three levels. We want to test the significance of A and after setting hypothesis $$H_0:\alpha_i=0 \quad\text{for}\quad i=1,2,3 \quad\text{Vs.}\quad ...
2
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1answer
53 views

How does the distinction between association and causation affect the interpretation of linear models? [closed]

Lurking variables probably have something to do with this. I'm just trying to figure out how their difference can affect a linear model.
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1answer
119 views

How to interpret “main effects” in a GLMM?

Recently, I asked a question about what procedure to use to analyse mixed data with dichotomous outcomes, see [here][1]. Now I started running some first analyses (mainly with SPSS, but I'll post the ...
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1answer
37 views

re-reflecting variable after transformation

I have a question about the process of re-reflecting transformed data. I see many questions and answers around this but I am not sure any answer my specific question. Many of my variables were ...
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1answer
55 views

How to explain when Main Effect and Interaction are not significant?

I've spent hours trying to interpret my data but I can't figure out how to explain the results when both the main effect and the interaction are not significant. I'm suppose to discuss my results, ...
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2answers
79 views

Research methodology, statistical literacy and communication

When talking to clients or offering advice, I often find myself having to question the choice of plotting variables over time. For example, if a client is interested in understanding the relationship ...
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1answer
53 views

How to interpret a status other than alive or dead in data for survival analysis?

I am working on a famous data set from this book. The data set consists of measurements on 418 patients. I am interested on modelling the variable; futime: number of days between registration ...
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1answer
132 views

Why is P value interpreted under null hypothesis? [duplicate]

P value is explained very nicely in the link . But still i have not understood Why is P value interpreted under null hypothesis?
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17 views

How to interpret odds ratio [duplicate]

I have the following data set and I applied logistic regression and my model is given below. $logit(\pi_i) = -60.71 + 34.27*Dose_i$ I know that $e^{34.27}$ gives the odds ratio, but don't know how ...
4
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1answer
51 views

Using predicted probabilities as regressors

I am working on a project where I investigate growth in wages due to migration. I correct for the endogeneity in the decision to migrate (only those that are most likely to gain from migration will ...
5
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1answer
106 views

Meaningful inference about data structure based on components with low variance in PCA

A lot of microbiome (microbial ecology) papers that I have come across use either principal component analysis (PCA) or principal coordinate analysis (PCoA) to make conclusions about the data. A lot ...
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1answer
33 views

Interpretation of significant interaction

I look for an intuitive understanding of interaction effect in ANOVA or regression. Let's keep things simple as the following. Suppose we have a standard 2 x 2 factorial design, where each factor ...
0
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1answer
28 views

prediction from panel regression

My question is simple (code and data at the bottom): suppose I run panel data regression (fixed effects using first differences) and I want use the estimate to generate prediction for a given data (a ...
2
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0answers
53 views

Tweedie P Value Interpretation

From Wikipedia (http://en.wikipedia.org/wiki/Tweedie_distribution) we know that The Tweedie distributions include a number of familiar distributions as well as some unusual ones, each being ...
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1answer
31 views

Compare means of two (contentwise) different variables

I have a question about comparing the means of two variables that have a different meaning but a (possibly) similar ways of measuring them. To give an example: Let's say I am conducting a study in ...
2
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1answer
82 views

Wrong Intepretation of Kruskal Wallis Test in R

I have some data (called egecNonmated) in R and I am trying to show that the distributions of a variable (MatchScore) are identical across three different Categories (Cat). I am using a box plot to ...
3
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1answer
104 views

Interpretation of interaction term

I have a model: $$ \ln({\rm earnings}) = a+b_1{\rm female}+b_2{\rm white}+b_3{\rm female}\times{\rm white} $$ ${\rm female}$ and ${\rm white}$ are dummy variables. I have interpreted $b_1$ and $b_2$: ...
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0answers
74 views

Interpreting output from cvFit(), understanding cross-validation in classification tree model

I am trying to understand how to interpret the output for cvFit(). The data is from UCI's ML repository. This is my model ...
3
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1answer
87 views

Interpreting results of chi-squared

Situation: A/B test of a single website change on a landing page. Alternating visitors to the landing page are shown a variation. The goal is to convert more visitors into customers. With data that ...
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1answer
50 views

estimating LMM with r

Suppose I have a model $$\begin{bmatrix}y(1)\\y(2)\end{bmatrix} = \begin{bmatrix}\mu \\ \mu \end{bmatrix} + \begin{bmatrix}\Lambda \\ \Lambda\end{bmatrix} + \begin{bmatrix}\varepsilon(1)/\rho_1\\ ...
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0answers
65 views

PSM, Diff-in-Diff and Neg-logged income variable? How to interpret estimates?

I am estimating a difference-in-difference based on propensity score matching. The "treatment"-variable defines whether a household registered for a public insurance which was only active for two ...
4
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0answers
195 views

interpreting y axis of a partial dependence plots

I have read through other topics on partial dependence plots and most of them are on how you actually plot them with different packages, not how you can accurately interpret them, So: I have been ...
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0answers
27 views

Statistic confidence interval

I have this statement: If a 95% confidence interval for the mean was computed as (25,50), then if several more samples were taken with the same sample size, then 95% of them would have a ...
1
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1answer
109 views

Interpreting a linear mixed effect model's interaction term

I am a biologist and am attempting to analyze the effects of time and location on depth. I was told I needed to use a mixed effects model to account for the random variables of Individual and tracking ...
1
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1answer
44 views

Best practice for visualizing a lift from zero?

Let's say you have two columns of data. Column A represents a value you had last month, and column B represents a value you have this month. If you want the percent change between the two, you math ...
2
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1answer
53 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 ...
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0answers
43 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
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1answer
78 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 ...
2
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1answer
66 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 ...