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 = 0.6 * weight - 27
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CHOE Hyeong Min | 63 |
| 2 | FENG Chun Kai | 69 |
| 3 | ARREDONDO Julián David | 58 |
| 5 | MEINTJES Louis | 58 |
| 6 | CHEUNG King Lok | 59 |
| 8 | FEDOSSEYEV Artur | 61.5 |
| 9 | WILMANN Frederik | 69 |
| 10 | PARK Sung Baek | 73 |
| 11 | JANG Kyung-Gu | 64 |
| 13 | FUKUSHIMA Shinichi | 62 |
| 14 | SBARAGLI Kristian | 74 |
| 15 | CECCHIN Alberto | 70 |
| 18 | ZABALLA Constantino | 66 |
| 20 | VAN ZYL Johann | 72 |