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 + 26
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KRISTOFF Alexander | 78 |
| 2 | MEEUS Jordi | 80 |
| 3 | WÆRENSKJOLD Søren | 92 |
| 4 | JAKOBSEN Fabio | 78 |
| 5 | BITTNER Pavel | 73 |
| 6 | PENHOËT Paul | 64 |
| 7 | KAMP Alexander | 74 |
| 8 | TESFATSION Natnael | 60 |
| 9 | KIELICH Timo | 73 |
| 10 | GRIGOREV Aleksandr | 73 |
| 11 | THEUNS Edward | 72 |
| 12 | GARCÍA GONZÁLEZ Sergio | 62 |
| 13 | VAN DIJKE Tim | 74 |