Topics include simple and multiple regression; linear models with categorical explanatory variables; model diagnostics; inference for linear models; polynomial regression; models for time dependence; ...

Taken from Introduction to Econometrics from Stock and Watson, 2003, p. 215: Y=B0 + B1*ln(X) + u ~ A 1% change in X is associated with a change in Y of 0.01*B1 ln(Y)=B0 + B1*X + u ~ A change in X by ...

Data wrangling, often referred to as data cleaning or data preprocessing, is a critical step in the data science process.

A polynomial is a chain of algebraic terms with various values of powers. There are some words and phrases to look out for when you're dealing with polynomials: \(6{x^5} - 3{x^2} + 7\) is a ...

Perceptual uncertainty and salience both impact decision-making, but how these factors precisely impact trial-and-error reinforcement learning is not well understood. Here, we test the hypotheses that ...

If \((x \pm h)\) is a factor of a polynomial, then the remainder will be zero. Conversely, if the remainder is zero, then \((x \pm h)\) is a factor. Often, factorising a polynomial requires some ...