Note: Elsewhere, we explain how totest whether the slope of a linear regression differs from a specific, hypothetical value. Using Prism's nonlinear regression analysis to also compute the confidence interval fo
In this linear regression tutorial, we will explore how to create a linear regression in R, looking at the steps you'll need to take with an example you can work through. To easily run all the example code in this tutorial yourself, you can create a DataLab workbook for free that has...
Communication Skills: AI engineers must be able to communicate complex technical concepts clearly and concisely to both technical and non-technical audiences. They should be able to explain AI models, algorithms, and their implications to participants, clients, and team members in a way that is und...
Answer to: Explain how the uses we put correlation and linear regression to are similar and explain how they are different. By signing up, you'll...
also explain the advantages of each form of encoding. The so-called overdetermined form of encoding is the easiest to understand, so I will start with it. I use this form whenever I am interested in estimating or comparing the response of separate factor levels. It is also appropriate...
In this context, we explain the generalized inverse which is needed to compute the coefficients for contrasts that test hypotheses that are not covered by the default set of contrasts. A detailed understanding of contrast coding is crucial for successful and correct specification in linear models (...
In the section, Test Procedure in Stata, we illustrate the Stata procedure required to perform multiple regression assuming that no assumptions have been violated. First, we set out the example we use to explain the multiple regression procedure in Stata....
Interpreting model results.The notion that ML is a "black box" is simply false. Yes, not all results are directly interpretable, but you need to be able to diagnose your models to improve them.How can I tell if my model is overfit or underfit? How do I explain these results to busine...
We argue that if the car could explain the objects in a human-like way, passengers could gain more confidence in the car’s abilities. Thus, we investigate how to (1) detect uncertain situations and their underlying causes, and (2) how to generate clarifying questions for the passenger. ...
We used a simple, concrete measure of time spent reading the previous day to measure reading engagement; for this reason, responses were positively skewed, which might explain the lack of a strong correlation with waiting decisions. Yet, reading engagement was correlated with AMRS19, suggesting ...