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 = -0.1 * weight + 23
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LODDO Alberto | 60 |
| 4 | RICHEZE Maximiliano | 68 |
| 6 | TRUSOV Nikolay | 77 |
| 10 | BONNET William | 80 |
| 12 | MIYAZAWA Takashi | 61 |
| 13 | BATES Gene | 61 |
| 14 | IMPEY Daryl | 72 |
| 15 | RENIER Franck | 69 |
| 17 | PARK Sung Baek | 73 |
| 19 | JÉGOU Lilian | 71 |
| 20 | ZARGARI Amir | 62 |
| 22 | BELLOTTI Francesco | 65 |
| 23 | AGGIANO Elio | 63 |