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 - 14
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GABRIEL Frédéric | 60 |
| 2 | VOECKLER Thomas | 71 |
| 3 | RINERO Christophe | 65 |
| 4 | LE BOULANGER Yoann | 70 |
| 6 | AUGER Ludovic | 78 |
| 7 | LEQUATRE Geoffroy | 64 |
| 9 | GÈNE Yohann | 67 |
| 10 | BOUCHER David | 78 |
| 11 | LEMOINE Cyril | 73 |
| 12 | MIZUROV Andrey | 68 |
| 13 | AUGER Guillaume | 78 |
| 14 | SIVAKOV Alexei | 72 |
| 15 | CAETHOVEN Steven | 67 |