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 = -1.6 * weight + 128
This means that on average for every extra kilogram weight a rider loses -1.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | MCCANN David | 73 |
| 7 | FUKUSHIMA Shinichi | 62 |
| 8 | WONG Kam-Po | 65 |
| 9 | KLOSTERGAARD Kasper | 69 |
| 15 | PARK Sung Baek | 73 |
| 19 | REIHS Michael | 75 |
| 25 | MIYAZAWA Takashi | 61 |
| 29 | TANG Wang Yip | 62 |
| 31 | SHIMIZU Miyataka | 60 |
| 42 | DOI Yukihiro | 58 |
| 43 | CHAN Chun Hing | 70 |
| 63 | JAWAD Mansoor | 58 |