cross-section data

Assumptions of Multiple Linear Regression on Cross-Section Data

Assumptions of Linear Regression / By Kanda Data / July 29, 2024

Multiple linear regression is a statistical technique used to predict the value of a dependent variable based on several independent variables. This regression provides a way to understand and measure the influence of independent variables on the dependent variable.

How to Distinguish Cross-Section Data, Time Series Data, and Panel Data

Statistics / By Kanda Data / July 28, 2023

Based on the collection method, data can be divided into cross-section, time series, and panel data. A good understanding of the differences between the three types and how to collect the three types of data will lead to the right choice of analysis.

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