I use Python 3 and Jupyter Notebooks to generate plots and equations with linear regression ... explain these basic statistical terms here because I will decide if my model is sufficient or ...

Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I ...

Linear regression is a statistical method used to model ... Plus you can run a basic regression model without having to learn Python. For anyone working with small to medium-sized datasets ...

In this use of the method, the model learns from labeled data (a training dataset), fits the most suitable linear regression (the best fit line) and predicts new datasets. The general principle and ...

Model building via linear regression models. Method of least squares, theory and practice. Checking for adequacy of a model, examination of residuals, checking outliers. Practical hand on experience ...

In this module, we will introduce generalized linear models (GLMs) through the study of binomial data. In particular, we will motivate the need for GLMs; introduce the binomial regression model, ...

If this hypothesis is true, then our linear model is not "useful," in the sense that our explanatory variable does not help us explain the value of our response variable. Regression is probably most ...

GLMs unify other statistical models, including gamma regression models appropriate for right skewed responses; logistic regression appropriate for categorical responses; and log-linear models ...