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 + 28
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KOOIJ Olav | 72 |
| 2 | WALSCHEID Max | 90 |
| 3 | PENHOËT Paul | 64 |
| 4 | MERLIER Tim | 76 |
| 5 | MCLAY Daniel | 72 |
| 6 | MALUCELLI Matteo | 68 |
| 7 | THIJSSEN Gerben | 74 |
| 8 | LEROUX Samuel | 79 |
| 9 | LE BERRE Mathis | 68 |
| 10 | TURGIS Anthony | 70 |
| 11 | COLMAN Alex | 73 |
| 12 | SAGAN Peter | 78 |
| 13 | BLIKRA Erlend | 75 |
| 14 | STEWART Mark | 70 |
| 15 | ANIOŁKOWSKI Stanisław | 68 |
| 16 | STEIMLE Jannik | 73 |
| 17 | MOLLY Kenny | 61 |