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 = 0.1 * weight + 5
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | TXURRUKA Amets | 58 |
| 2 | REICHENBACH Sébastien | 64 |
| 3 | FRAILE Omar | 72 |
| 4 | TURGIS Anthony | 70 |
| 5 | HUPOND Thierry | 65 |
| 6 | HENAO Sergio | 61 |
| 7 | VERVAEKE Louis | 68 |
| 8 | LANDA Mikel | 61 |
| 9 | SIUTSOU Kanstantsin | 68 |
| 10 | DE WEERT Kevin | 70 |
| 11 | INTXAUSTI Beñat | 61 |
| 12 | PINOT Thibaut | 63 |
| 13 | KWIATKOWSKI Michał | 68 |
| 14 | MORENO Daniel | 59 |
| 15 | MARTIN Tony | 75 |
| 16 | CASTROVIEJO Jonathan | 62 |