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 - 5
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MAYO Iban | 65 |
| 2 | HAMILTON Tyler | 65 |
| 3 | ARMSTRONG Lance | 72 |
| 4 | PEREIRO Óscar | 67 |
| 5 | ROGERS Michael | 74 |
| 6 | SEVILLA Óscar | 62 |
| 7 | DESSEL Cyril | 63 |
| 8 | GUTIÉRREZ José Enrique | 78 |
| 9 | LEFÈVRE Laurent | 67 |
| 10 | LEIPHEIMER Levi | 62 |
| 11 | MILLAR David | 79 |
| 12 | HINCAPIE George | 83 |
| 13 | JAKSCHE Jörg | 69 |
| 14 | ASTARLOZA Mikel | 72 |
| 15 | LANDALUZE Iñigo | 65 |