1. Linear

- When the relationship between two sets of variables can be represented with a line.

2. Weak negative

- As one set of values increases, the other somewhat decreases.

3. No correlation

- The points are scattered randomly with no visible pattern.

4. Moderate negative

- As one set of values increases, the other moderately decreases.

5. Weak positive

- As one set of values increases, the other somewhat increases.

6. Strong negative

- As one set of values increases, the other set decreases.

7. Correlation matching activity

- A task that requires students to match a description with an appropriate scatter plot representing a certain type of correlation between two variables.

8. Data Definition Word Example Non-example

- This term is not directly related to correlation but seems to be part of a larger concept or section in statistics, possibly referring to how data should be presented and explained when discussing it.

9. MA-S2 Descriptive statistics and bivariate data analysis

- A course or topic area that likely covers the concepts mentioned above.

10. Strong positive

- As one set of values increases, the other set also increases.

Matching scatter plots correlation