Regression line on weight and result
With regression analysis we can check if there is a relationship between a dependent (also called outcome variable) and an independent variable. In this statistic, the relationship between the weight of a rider and the result (outcome) is investigated.
The formula for the regression line on the riders in the result is as follows:
The formula for the regression line on the riders in the result is as follows:
result = -0 * weight + 15
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BOLE Grega | 69 |
| 3 | SBARAGLI Kristian | 74 |
| 5 | JANG Chan Jae | 64 |
| 6 | PARK Sung Baek | 73 |
| 7 | JANG Kyung-Gu | 64 |
| 8 | PRADES Benjamín | 56 |
| 10 | BENFATTO Marco | 71 |
| 14 | BALIANI Fortunato | 66 |
| 15 | OROZ Juan José | 71 |
| 16 | PERON Andrea | 70 |
| 21 | LAPTHORNE Darren | 70 |
| 23 | HAIG Jack | 67 |
| 25 | SEO Joon Yong | 66 |