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 - 9
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | FEILLU Romain | 62 |
| 2 | CARBEL Michael | 73 |
| 3 | BARBIER Rudy | 79 |
| 4 | ABERASTURI Jon | 69 |
| 6 | SELLIER Simon | 68 |
| 8 | HOELGAARD Daniel | 77 |
| 9 | BIERMANS Jenthe | 78 |
| 10 | SARREAU Marc | 76 |
| 12 | WIŚNIOWSKI Łukasz | 78 |
| 14 | TURGIS Jimmy | 63 |
| 18 | VAUBOURZEIX Thomas | 70 |
| 20 | JARRIER Benoît | 69 |
| 21 | DUNNE Conor | 88 |