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 + 24
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | FREIRE Óscar | 63 |
| 2 | ELMIGER Martin | 73 |
| 3 | KIRCHEN Kim | 68 |
| 4 | VAN AVERMAET Greg | 74 |
| 5 | GILBERT Philippe | 75 |
| 6 | IGLINSKIY Maxim | 67 |
| 7 | CAPECCHI Eros | 65 |
| 8 | ZBERG Markus | 69 |
| 9 | KNEES Christian | 81 |
| 10 | ALBASINI Michael | 65 |
| 11 | BOTCHAROV Alexandre | 54 |
| 12 | GUTIÉRREZ José Iván | 71 |
| 13 | FLORENCIO Xavier | 59 |
| 14 | VISCONTI Giovanni | 63 |
| 15 | DEIGNAN Philip | 65 |