This is a Python solution that uses a Linear Regression model to make predictions on a simple dataset, and calculate the coefficient of determination against the predictions from the provided values.

This program is partly based off of LinRegressionModel which I made several months ago, but instead of using neural network principles this time I used least squares in order to be able to generate ...

Successful investing requires the ability to distinguish long-term trends from the short-term noise that moves stock prices on a minute-to-minute basis. One way to tune out the random oscillations and ...

We propose a general semiparametric method based on multiple imputation for Cox regression with interval-censored data. The method consists of iterating the following two steps. First, from ...

This paper provides ANOVA inference for nonparametric local polynomial regression (LPR) in analogy with ANOVA tools for the classical linear regression model. A surprisingly simple and exact local ...