Correlation (r)
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The Correlation Coefficient (r) is a positive or negative value between 1 and -1 that indicates the strength of linear association among data points.
The closer correlation (r) is to +1/-1, the stronger the linear association.
If correlation (r) is 0, that means there's no linear association.
r = 0.7497
| Clue | Insight | In other words... |
|---|---|---|
| 0.7497 is relatively closer to +1 than zero. | It's a strong linear association. | Without the line of best fit visible, we could probably guess where it'd go! |
| 0.7497 is a positive number. | It's a positive linear association. | The line of best fit is angled upwards and has a positive slope! |
r = -0.4359
| Clue | Insight | In other words... |
|---|---|---|
| -0.4359 is relatively closer to zero than -1. | It's a weak linear association. | Without the line of best fit visible, it'd be a little difficult to guess where it'd go. |
| -0.4359 is a negative number. | It's a negative linear association. | The line of best fit is angled downwards and has a negative slope! |