How-To Geek on MSN

How to run R-style linear regressions in Python the easy way

If you have experience with R or want a quick way to generate a regression with statsmodels using a pandas DataFrame, you can ...
SciELO

Econometric model of iron ore through principal component analysis and multiple linear regression

Price of iron ore is affected by instabilities of microeconomic balance between supply and demand. Periods of equilibrium adjustment result in huge swings, growth or global recession. They also impact ...
The Motley Fool

What Does Regression Mean in Machine Learning?

Regression models predict outcomes like housing prices from various inputs. Machine learning enhances regression by analyzing large, complex datasets. Different regression types address varied data ...
Geeky Gadgets

How to Build a Excel PivotTable from Multiple Sources

Excel’s PivotTable feature is a fantastic option for data analysis, allowing users to consolidate and analyze data from various sources in a single, dynamic table. By mastering the art of creating ...
IEEE

Enabling Privacy-Preserving Parallel Computation of Linear Regression in Edge Computing Networks

Abstract: Linear regression is a classical statistical model with a wide range of applications. The function of linear regression is to predict the value of a dependent variable (the output) given an ...
Frontiers

A review of common statistical methods for dealing with multiple pollutant mixtures and multiple exposures

1 Department of Health Statistics, School of Public Health, Shanxi Medical University, Taiyuan, China 2 Key Laboratory of Coal Environmental Pathogenicity and Prevention (Shanxi Medical University), ...
IEEE

Implementation of 3-D Multiple Linear Regression in Hardware using the Xilinx Spartan-3AN FPGA

Abstract: In this paper, a linear regression algorithm implementation in hardware using the Field Programmable Gate Array (FPGA) is presented. A two-dimensional (2-D) simple linear regression aims to ...