The Scientist's content tagged with: Linear Regression.August 2025, Issue 1 Publish or Perish: The Board Game of Academic Survival Players compete, collaborate, and celebrate in a satirical race to ...

I use Python 3 and Jupyter Notebooks to generate plots and equations with linear regression on Kaggle data. I checked the correlations and built a basic machine learning model with this dataset.

Dimitris Bertsimas, Bart Van Parys, SPARSE HIGH-DIMENSIONAL REGRESSION, The Annals of Statistics, Vol. 48, No. 1 (February 2020), pp. 300-323 ...

Simple linear regression is commonly used in forecasting and financial analysis—for a company to tell how a change in the GDP could affect sales, for example. Microsoft Excel and other software ...

Xuejing Wang, Bin Nan, Ji Zhu, Robert Koeppe, Alzheimer's Disease Neuroimaging Initiative, REGULARIZED 3D FUNCTIONAL REGRESSION FOR BRAIN IMAGE DATA VIA HAAR WAVELETS, The Annals of Applied Statistics ...

In this module, we will introduce generalized linear models (GLMs) through the study of binomial data. In particular, we will motivate the need for GLMs; introduce the binomial regression model, ...

It is an output of regression analysis and can be used as a prediction tool for indicators and price movements. In finance, the line of best fit is used to identify trends or correlations in ...