Yes, it is possible that there are no three-way interactions in a multiple regression model that includes four predictors. A three-way interaction involves the combined effect of three predictors on the outcome variable, while a multiple regression model with four predictors could have two-way interactions, main effects, or no interactions at all. The absence of a three-way interaction does not necessarily imply that the predictors do not interact with each other or explain a significant amount of variance in the outcome variable, but this would need to be examined through other types of analyses or diagnostic tests.
Please start posting anonymously - your entry will be published after you log in or create a new account. This space is reserved only for answers. If you would like to engage in a discussion, please instead post a comment under the question or an answer that you would like to discuss
Asked: 2023-06-27 19:10:13 +0000
Seen: 12 times
Last updated: Jun 27 '23
How to retrieve lost messages in ZeroMQ publish/subscribe model?
How can weights be duplicated and altered using pytorch?
What are the steps to visualize a PCL Model accurately using ROS RVIZ?
What could be the reason for the low AUC and ROC scores of my significant model?
What is the process of using a Word2Vec model on a column within a Pandas dataframe?
How to provide parameters to machine learning model objects?
Is the BTYD model adjusted or modified before its implementation?