This paper systematically analyzes the market dynamics of the pet industry in China and globally based on multiple linear regression and ARIMA models. First, for the Chinese market, this paper ...

The adjusted r-squared is helpful for multiple regression and corrects for erroneous regression, giving you a more accurate ...

Comprehensive Stata do-file for testing and correcting violations of classical OLS assumptions: model specification, heteroskedasticity, multicollinearity, spatial autocorrelation, endogeneity, ...

When your car relies on perfect airflow data, one misread can destroy seasons of work. This deep dive into Mercedes’ wind tunnel issues explores the hidden risks of simulation dependence in Formula 1.

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 ...

It is well known that as we age, our brain naturally undergoes changes. This in turn can affect our memory, focus, and cognitive speed. However, some research and studies shows that small, consistent ...

Abstract: The least squares (LS) estimate is the archetypical solution of linear regression problems. The asymptotic Gaussianity of the scaled LS error is often used ...