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

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Determining the effect of number of likes

Let's say I have marketing data and I need to determine how effective the marketing is. The marketing strategy is to publish facebook posts at inconsistent intervals. The goal is to see how the ...
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26 views

How to interpret the coefficient of tax rate

I have used the marginal tax rate as an independent variable in my regression. The data is in decimals, meaning it is lesser than 1. How do I interpret its coefficient if the dependent variable is no. ...
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15 views

Interpretation of confidence intervals [duplicate]

CI(p) = (a, b) People sometimes interpret this interval by saying that there is a 95% probability that the true p belongs to (a, b) The statement is incorrect (there is no probability ...
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1answer
40 views

How to interpret regression coefficients when the dependent variable is square root transformed? [duplicate]

I have problem with interpreting the OLS regression result with the dependent variable square root transformed when doing difference-in-differences analysis. Our regression model is: $$ Y = β_0 + β_1 ...
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1answer
20 views

Interpretation of ANOVA main effect, ignoring one row

I'm reading a paper which performs a 3x2 ANOVA like so: ...
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0answers
13 views

Meaning of growth of log-transformed variables [duplicate]

I am dealing with the transformation of the variables for my master thesis (a panel dataset with a xtabond2 model). The analysis focuses on growth rates, so my co-director told me to transform the ...
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42 views

Interpretation of logistic regression output with an interaction effect

I'm currently working on a research problem that requires the addition of an interaction term for each continuous covariate. In other words, I need to determine how the continuous variable changes ...
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2answers
70 views

Example of interpretation of logistic regression

I was looking at a paper by Pell JS 2009, regarding smoking and survival following acute coronary syndrome. Part of the analysis carried out in the paper was a logistic regression with results as ...
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1answer
151 views

What is the intuitive reason behind doing rotations in Factor Analysis/PCA & how to select appropriate rotation?

My Questions What is the intuitive reason behind doing rotations of factors in factor analysis (or components in PCA)? My understanding is, if variables are almost equally loaded in the top ...
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19 views

Interpreting output with deviation (sum)coding

How do I interpret main and interaction effects with deviation coding? This is the output I generated for Code_IS_Condition (3 levels), ...
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0answers
7 views

question about the output of Binary regression in SPSS [duplicate]

I am using binary regression modle analysising my data, by SPSS as the picture 1. you see in below, it is the first round result, Then, during the next round, I removed the variables which have no ...
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17 views

Interpreting p-values of log regressions

The following output is for a log log model. ...
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8 views

Predicting individual treatment effects as the difference between predicted outcomes with and without treatment

To provide some context, I am trying to (a) identify the best ad to increase support for a particular issue among a large group of people, and (b) identify the people most likely to respond positively ...
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22 views
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21 views

Interpretation of linear and quadratic interactions

I'm working on building and interpreting multilevel models. In one, I'm predicting binge episodes over time and using a linear time by baseline characteristic interaction as well as a quadratic time ...
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1answer
21 views

Interpretation of Non-significant Coefficients

My regression uses OLS and annual macroeconomics data. I find one independent variable (x), negative and not statistical significant.From the theory I expected to see (x) to be negative and ...
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2answers
70 views

How to interpret this interaction in R?

How would you interpret this interaction? The structure of the data is all integer variables. Inc.fix= income, age.fix=age, profit99= profit ...
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1answer
50 views

How to interpret my coeff/ORs when the main effect of my two predictors is significant but not the interaction between the two?

Apologies as this has been posted before in similar topics but still I am trying to stretch my brain to understand it. I have panel data, I am looking at both binary and count variables as outcomes ...
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1answer
24 views

When fitting a GLMM, is the predicted value for any success or all successes or what?

I am relatively new to multilevel modeling and have just been given an assignment that uses a generalized linear mixed effects model. The outcome is smoking status (1=yes, 0=no) measured at three ...
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1answer
68 views

Does a factor-by-factor interaction term have any literal interpretation?

Following the explanations in What is the baseline level in a factor-by-factor interaction?, it is my understanding that a factor-by-factor interaction term has no literal interpretation. At the very ...
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48 views

Meaning of y axis in Random Forest partial dependence plot

I am using the RandomForest R package and am confused at how to interpret the values of the Y-axis in their partial dependence plots. Help docs state that the plot ...
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13 views

Parameterization of the ANOVA model and interpretation of the overall F-test

I've recently encountered the following concept regarding linear regression: the inclusion of an intercept will change the interpretation of both the overall F-test and the individual parameter ...
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50 views

Interpretation of biplot in PCA

Blue points all appear in the lower right-hand quadrant in the plane formed by the first two principal components. Is it a good interpretation of the biplot (right panel) to say that blue points ...
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1answer
14 views

How do you interpret SPSS output for reference groups with multiple levels?

I am using binary logistic regression. My dependent variable is referred or not referred. I have set a reference category for location of subjects. I have chosen to use the largest site with the ...
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1answer
84 views

Interpretation of marginal effects in Logit Model with log$\times$independent variable

I am totally confused by statistics and I would be glad if you could help me. I have a difficulties to interpret marginal effects in logit model, if my independent variable is log transformed. I ...
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1answer
44 views

What do these probabilities mean in lay language? A HR of 0.419 means what?

The adjusted hazard ratios (HRs) for dementia were significantly inversely associated with increased daily or total equivalent statin dosage. The HRs for the three tertiles of mean equivalent daily ...
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20 views

Hierarchical Regression Moderator Analysis

I ran a 2-block hierarchical regression to test for moderation. In the first block I entered the centered IV and centered moderator variable (MV) and in the second block I entered my centered ...
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1answer
97 views

Interpreting regression results

I ran the following regression using R. ...
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1answer
47 views

What is the baseline level in a factor-by-factor interaction?

What is the baseline level for a factor-by-factor interaction term in multiple regression? Consider this example from Fox 2003. In the regression below, these two variables are categorical: ...
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12 views

Interpreting results of multiple regression with two categorical predictors

I ran a multiple regression model with 2 categorical predictors: X1 and X2, each getting values 0 or 1 (two factors with two levels each). Both variables were statistically significant. The ...
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1answer
38 views

How to describe meaning of R squared?

What is the correct interpretation of R squared? How do you typically write the results? Could I say something like Age explained 30% of variation of the car condition index. Please help :)
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16 views

First factor in Exploratory Factor Analysis and Principal Component Analysis

I am conducting an Exploratory Factor Analysis (EFA) and I was wondering if it is common or appropriate to say that the first factor is the strongest or most important of the model as it is explaining ...
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2answers
42 views

How to show that a dataset does not contain significant outliers?

I have largish dataset: there is 200 variables and 100 samples. How could I show that the dataset does not contain any significant outliers? All variables have the same unit (millimeters) and have ...
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25 views

How to interpret factor by factor interactions?

I'm a bit confused on how one should interpret factor by factor interactions, and what interpretations can be validly extracted. Consider this example from Fox 2003. In the regression below, these ...
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10 views

Interpreting moderation in a hierarchichal regression

I am researching whether gender moderates the relationship between exposure to trauma and PTSD. The results are confusing me. I found that gender does predict PTSD above and beyond exposure. However, ...
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74 views

How does the presence of factors affect the interpretation of the other coefficients in a regression?

The answer to Interpreting coefficients of an interaction between categorical and continuous variable contains a phrase that seems to have some significant impact on how coefficients are interpreted ...
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30 views

interpretation of coefficients from glm model, normal family with log link vs. linear model with logged outcome

I was fitting a linear model where the outcome was log transformed. The outcome is overdispersed and skewed and logging dramatically improved model fit. For reasons that relate to the software ...
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1answer
23 views

Interpreting OLS Cross-Sectional Macro Data

I have the following model: $y=a_0+a_1(x_1/z_1)+a_2(x_2)+e $, where $y$ = the average log of variable y, $x_1$ = the average ratio of $ x_1/z_1 $, $x_2$ = is the averae log of the variable $x_2$. ...
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1answer
49 views

Interpretation of Coefficients in linear regression using 'fitlm'

I require help with regards to the interpretation of linear regression results (I'm using the Matlab 'fitlm' function). My data has 8 features, and when each feature is plotted against the response ...
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2answers
95 views

Interpretation of continuous variable in dummy-continuous interaction

Similar questions have been asked before, but all of them focus on the dummy or interaction term. Say run an OLS regression on the model: $\ln( housePrice )= \beta_1 \times pollutionLevel + \beta_2 ...
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12 views

Interpretion of ANOVA with Nested Design

The following scenario is a basic nested design. I am trying to wrap my head around the interpretation of the ANOVA Table. Scenario: A school administrator is looking to investigate 5th grade ...
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1answer
48 views

Interpret learning curves

I am training a Decision Tree on a dataset of around 580.000 data points. I took the following steps: Split the dataset in training (75%) and validation (25%) set. Determined the best depth for the ...
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1answer
42 views

logistic regression continuous independent variable interpretation in R

I have age as a covariate in my material. A continuous variable. The age varies between 18-70 years. I'm into a logistic regression and do not really know how to treat the variable. As a linear ...
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14 views

Cox/ Binomial Regression: How to reconcile Non-significant model with significant IVs

I'm been performing some survival and regression analyses corresponding to an event of interest being death or a certain surgical procedure, namely a shunt revision for pediatric neuro-surgical ...
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1answer
259 views

Why do my p-values differ between logistic regression output, chi-squared test, and the confidence interval for the OR?

I have built a logistic regression where the outcome variable is being cured after receiving treatment (Cure vs. No Cure). All ...
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1answer
49 views

interpreting NMDS ordinations that show both samples and species

I am using the vegan package in R to plot non-metric multidimensional scaling (NMDS) ordinations. I am using this package because of its compatibility with common ...
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39 views

Interpret correlation

I ran bivariate correlation between two variables at two different time points as well as with the change between the two time points. I used Pearson correlation: Before r,p -0.44,0.030 After r,p ...
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1answer
86 views

Conclusions from output of a principal component analysis

I am trying to understand output of principal component analysis performed as follows: ...
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20 views

Leave one out cross validation error term interpretation

I have a dataset that involved 70 participants and 7 variables (1 y variable and 6 explanatory variable). I have used leave one out cross validation to assess the model and have resulted in an answer ...
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1answer
14 views

What does it mean for Multiple “R-squared(proj model)” in felm, package lfe

In the output of felm function which is a function for the Linear Models with Multiple Fixed Effects, two R-squared information are provided: Multiple R-squared(full model) and Multiple R-squared(proj ...