Pupil outcome: I can use my knowledge of non-linear relationships to solve problems. Key learning points: - If you can spot a sequence, it is possible to predict behaviour. - By predicting future behaviour, you can plan how to react. -...

Pupil outcome: I can represent, algebraically and graphically, a set of coordinates constructed according to a mathematical rule. Key learning points: - An arithmetic sequence can be generated using an n^th term rule.. - The term numbers...

Pupil outcome: I can appreciate the features of special number sequences, such as square, triangular and cube. Key learning points: - Square number sequences are formed by squaring the position within the sequence. - Cube number...

In this video, the teacher explains how to identify patterns and associations in a scatter plot using a standardized math test question as an example. The viewer is guided through each answer choice and taught to recognize outliers,...

In this video, the teacher explains how to recognize patterns and determine if they are linear. They use the example of counting blocks in rows to demonstrate how to identify a linear pattern and function. The teacher then shows how to...

Creating Patterns in Onshape part 1/2: In this video tutorial, we demonstrate how to create a 3D model in Onshape using dimension tools, constraints, and various shapes. We follow the PLTW curriculum activity 1.3.4, which helps users...

This video explains linear regression - cost functions and gradient descent.<br<br/>/>

This clip is from the chapter "Linear Regression" of the series "Practical Data Science Using Python".This section explains linear regression.

In this video, you will learn how to write quadratic equations by finding patterns in a table of data. The video covers topics such as linear equations, slope-intercept form, elimination method, and the general form of a quadratic function.

In this video, a teacher explains how to assess the appropriateness of a linear correlation model by checking three conditions: do the variables are quantitative? Does the scatterplot looks linear? And are there any outliers? Review...