Stanford Stats 202 & 216. Contribute to Miaomiao1999/within-the-margin-of-error development by creating an account on GitHub.

In the case of “multiple linear regression”, the equation is extended by the number of variables found within the dataset. In other words, while the equation for regular linear regression is y(x) = w0 ...

If you're using linear regression, for instance, these coefficients are the slopes that indicate how much the outcome variable is expected to change with a one-unit change in the predictor.

Robust Regression: Robust regression methods are designed to be less affected by outliers or errors in the dataset. They aim to provide more reliable estimates by using techniques that downweight the ...

Multiple linear regression (MLR) is a statistical technique that uses several explanatory variables to predict the outcome of a response variable.

Abstract: Spatio-temporal gait parameters such as step width, cadence, stride length, and walking speed contribute to dynamic stability. Several studies have investigated the role of gait parameters ...

Development of Linear Regression Models to Estimate the Margin of Stability Based on Spatio-Temporal Gait Parameters Abstract: Spatio-temporal gait parameters such as step width, cadence, stride ...