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 = 2 * weight - 101
This means that on average for every extra kilogram weight a rider loses 2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | CHOI Ki Ho | 59 |
| 5 | NISHITANI Taiji | 62 |
| 8 | WANG Meiyin | 70 |
| 9 | WONG Kam-Po | 65 |
| 10 | WU Kin San | 68 |
| 15 | GALEDO Mark John Lexer | 58 |
| 18 | SHIMIZU Miyataka | 60 |
| 19 | GAZVODA Gregor | 72 |
| 21 | JIANG Kun | 71 |
| 23 | CHAN Chun Hing | 70 |
| 24 | KUBOKI Kazushige | 68 |
| 46 | CHEUNG King Lok | 59 |
| 52 | WILLIAMS Christopher | 75 |
| 65 | TANG Wang Yip | 62 |
| 71 | OJAVEE Mart | 80 |
| 79 | KIRSIPUU Jaan | 80 |
| 84 | XU Gang | 69 |