Probability and Statistics Group research at the School of Mathematical and Computer Sciences at Heriot-Watt University, Edinburgh.

Proper handling of continuous variables is crucial in healthcare research, for example, within regression modelling for descriptive, explanatory, or predictive purposes. However, inadequate methods ...

In this video, we will learn what is linear regression in machine learning along with examples to make the concept crystal clear.

An example linear framework graph is shown in Fig.1a. This graph, which we have called H, represents a single enhancer which can be either activated (filled red circle) or not and in communication ...

Graphing linear functions Graphing linear functions This section focuses on the key features and methods for working with linear graphs. It demonstrates how to sketch graphs from rules, derive rules ...

Solving a pair of simultaneous equations involves determining the values of x and y that satisfy both equations (simultaneously. Graphically, this corresponds to finding the coordinates (x, y) where ...

The utility function measures a consumer’s preference for goods or services in terms of satisfaction. Learn how to calculate it and why it’s important to economists and businesses.

You can insert a chart in Excel by selecting your dataset, heading over to the Insert tab, and clicking the chart type you want in the Charts group of the ribbon. Then, you can customize them by ...

The Linear Demand Function A linear demand function is an algebraic formula for calculating demand curves without having to draw a demand function graph.