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 = 0.3 * weight - 13
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ZABEL Erik | 69 |
| 2 | USOV Alexandre | 63 |
| 3 | WROLICH Peter | 68 |
| 4 | BAYARRI Gonzalo | 67 |
| 5 | BURGOS Nacor | 58 |
| 6 | HONDO Danilo | 73 |
| 7 | ENGELS Addy | 64 |
| 8 | EKIMOV Viatcheslav | 69 |
| 9 | ZBERG Beat | 72 |
| 10 | LANDALUZE Iñigo | 65 |
| 11 | RODRÍGUEZ Joaquim | 58 |
| 12 | GUTIÉRREZ José Iván | 71 |
| 13 | SCHLECK Fränk | 65 |
| 14 | CASERO Rafael | 74 |
| 15 | FLECHA Juan Antonio | 72 |
| 17 | FÖRSTER Robert | 83 |
| 18 | BELLI Wladimir | 64 |
| 19 | TORRENT Carlos | 71 |