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 + 25
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MARSMAN Tim | 75 |
| 2 | VAN EKEREN Niels | 70 |
| 4 | BOCKELMANN Luca | 67 |
| 6 | PLUIMERS Rick | 67 |
| 11 | KOOIJ Olav | 72 |
| 16 | HEALY Ben | 65 |
| 17 | TULETT Ben | 56 |
| 19 | VAN GESTEL Luuk | 64 |
| 21 | LAMBERINK Steyn | 73 |
| 23 | KERCKHAERT Jochem | 59 |
| 29 | BROEX Victor | 75 |
| 32 | BOVEN Lars | 62 |
| 33 | MACLEOD Callum | 57 |
| 39 | BAAK Jord | 73 |
| 42 | ASKEY Lewis | 75 |