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 = -0.1 * weight + 17
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | JANG Kyung-Gu | 64 |
| 2 | PORTER Elliott | 73 |
| 3 | NORRIS Lachlan | 67 |
| 4 | PARK Sung Baek | 73 |
| 5 | CHOE Hyeong Min | 63 |
| 6 | CARTHY Hugh | 69 |
| 10 | HAIG Jack | 67 |
| 12 | GOESINNEN Floris | 75 |
| 14 | SMIT Willie | 72 |
| 15 | JANG Chan Jae | 64 |
| 19 | KERBY Jordan | 71 |
| 20 | BALIANI Fortunato | 66 |
| 22 | OROZ Juan José | 71 |
| 23 | CHEUNG King Lok | 59 |
| 26 | VAN ZYL Johann | 72 |