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 = -0.2 * weight + 32
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | WINN Julian | 70 |
| 5 | FUKUSHIMA Shinichi | 62 |
| 6 | MCCANN David | 73 |
| 8 | BRAMMEIER Matt | 72 |
| 16 | CHAN Chun Hing | 70 |
| 23 | LLOYD Daniel | 70 |
| 24 | REID Robin | 62 |
| 28 | IRVINE Martyn | 80 |
| 35 | MIYAZAWA Takashi | 61 |