Can ANOVA be used with a categorical outcome and continuous …
Sep 29, 2022 · Then you have a specific "predictor" and a defined "outcome" ; you would want the analysis method to reflect the experimental design. In some types of observational study, however, …
r - How to check whether a continuous predictor is linearly or non ...
Sep 4, 2025 · My question is: What are the best practices to formally assess whether the continuous predictor is linearly or non-linearly associated with the binary outcome? Are visual inspection (spline …
When conducting multiple regression, when should you center your ...
Jun 5, 2012 · When conducting multiple regression, when should you center your predictor variables & when should you standardize them? Ask Question Asked 13 years, 7 months ago Modified 5 years, …
DHARMa diagnostics: residuals vs. predicted for categorial predictor ...
Feb 23, 2021 · 3 I fitted different response variables (one after each other) to the same categorial predictor. Since it's a categorical predictor I get a boxplot for the residual vs. fitted with the DHARMa …
Announcing Az Predictor | Microsoft Community Hub
Nov 10, 2020 · Az Predictor annimated GIF Goals We built Az Predictor, an intelligent command completion module for Azure Powershell. Az Predictor helps our Azure developers find the cmdlet …
Regression model not significant, but the predictor significant
Feb 4, 2024 · However, in this case, the significant predictor is not just one of the variables included in the model, but it is the one that is being specifically tested with an a priori hypothesis.
Significance of categorical predictor in logistic regression
The following explanation is not limited to logistic regression but applies equally in normal linear regression and other GLMs. Usually, R excludes one level of the categorical and the coefficients …
Interpretation of log transformed predictor and/or response
I'm wondering if it makes a difference in interpretation whether only the dependent, both the dependent and independent, or only the independent variables are log transformed. Consider the case of...
use standard deviation as predictor? - Cross Validated
Jun 6, 2015 · Going by your picture, it looks like what you are proposing is to stratify your data into layers depending on the value of , then compute the standard deviation of in each layer, then use …
How to identify the most impactful features in a ML model, i.e. the ...
Apr 17, 2020 · The model has up to 473 predictor variables and 1 target variable (all predictor and target variables are numeric). I wanted to identify the most impactful features, i.e. which predictor variables …