Regression tools added debug automation capabilities to sort failing tests into bins, triage them, categorize them by root cause, and perform root cause analysis (RCA) to guide verification engineers.

Using data to make smart decisions is powerful—but only if you know how to manage the tools behind it. Logistic regression, one of the most widely used methods in data analysis, can be a game ...

Stepwise OLS regression analysis of the effect of work cessation on situational memory capacity in older adults Stepwise OLS regression was conducted to analyse the effects of the six control ...

Consequently, describing, analyzing, or statistically testing experimental data using parametric methods—such as calculating mean and standard deviation, performing t -tests and ANOVA for group ...

Welcome to the Data Analysis and Econometrics repository! This space is dedicated to providing examples and snippets for applying econometric methods using various tools such as Python, R, GRETL, ...

Coeffeasy is an R package under development for making regression coefficients more accessible. With this tool, you can read many key coefficients instantly. statistics logistic-regression ...

We conclude that SQL is a promising tool for in-database processing of large-volume, low-dimensional data sets with a particular class of machine learning algorithms, namely those that can be ...