# Tag Info

1 vote

### How to interpret an index of values between -2.5 and +2.5 (an independent variable) in a regression?

Look at this post to see how to normalize between 0, 1 with Stata. And this post for the general idea. The coefficient for f_opennavg is $-0.261$, so assuming your ...

### Isolating a relationship's significance

Since your dependent variable (W) is Binary, you could consider the Logistic Regression approach. The Logistic Regression coefficients are in terms of log-odds and you can easily derive the odds or ...
1 vote
Accepted

### Repeated measures ANCOVA interpretation – significant covariate/test day interaction

Instead of getting caught up in ANCOVA terminology, remember that it's just a particular form of a linear regression model. With ANCOVA, you have a continuous outcome (here, ...

### Interpreting Significant Interaction Term Odds/Hazard Ratio with Binary Variables

The correct answer (assuming that you are using treatment or dummy coding for each of A and B) is close to your second suggestion, with one modification: the interaction between A and B provides a ...

### What is the correct interpretation of the $\beta_1$ coefficient in a linear regression model?

Here is what $E[Y|X]$ changes when $X$ changes by one unit (using that the expectation operator is linear and that $\epsilon$ is independent of $X$ with $E[\epsilon] = 0$):  \begin{align} E[Y|X = ...
1 vote
Accepted

### LMM Results interpretation: Change in results when adding interaction

Under treatment/dummy coding as you are using, this is what happens with coefficients when predictors are involved in interaction terms. The individual coefficient for a predictor is then defined for ...

### Interpret multiple logistic regression

The interpretation of fitted regression coefficients $\beta_i$ as causal effect requires some additional insight into your scenario. E.g., if you know for sure that your variable Intervention is not ...
1 vote
Accepted

### Convert T-values from Poisson regression to Standard Errors

I contacted a statistics professor at my faculty and the author of the paper - the solution is: SE_logIRR = log(IRR)/Tvalue and the example calculation becomes: SE_logIRR = log(0.76)/1.96 = -0.14002 ...
Accepted

### Interpretation of interaction of a continuous and a dummy variable in linear regression

$\beta_3$ is the difference in slopes of $\mathbb{E}(Y|X_1)$ vs. $X_1$ between observations that have $D=1$ and these that have $D=0$. The slope for the former is $0.5+0.7=1.2$ and for the latter $0.5$...
1 vote
Accepted

### Interpretation of log-linear regression

Both sources give you a different interpretation of log-linear models. The first source gives the interpretation in terms of the percentage change. That is, $(e^\beta - 1) * 100$ shows the ...
1 vote
Accepted

### 4 way mixed ANOVA--Need help interpreting a 3 way interaction!

A significant 3-way interaction (here among all of the within-subject variables) means that you can't properly assess the association between any one of those predictors and outcome unless you know ...