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 = 0.7 * weight - 32
This means that on average for every extra kilogram weight a rider loses 0.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MARÍN Ruber Alveiro | 55 |
| 3 | GEORGE David | 61 |
| 6 | WONG Kam-Po | 65 |
| 7 | LE MÉVEL Christophe | 61 |
| 8 | JØRGENSEN René | 60 |
| 11 | HUNTER Robert | 72 |
| 12 | VOECKLER Thomas | 71 |
| 13 | CAÑADA David | 65 |
| 14 | BALIANI Fortunato | 66 |
| 15 | FUKUSHIMA Shinichi | 62 |
| 17 | MÄNDOJA Innar | 69 |
| 21 | MIZBANI Ghader | 67 |
| 22 | POSPYEYEV Kyrylo | 71 |
| 24 | LEUKEMANS Björn | 67 |
| 25 | SUZUKI Shinri | 60 |