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 = -0.4 * weight + 42
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MULLEN Ryan | 77 |
| 2 | DE MAN Jaap | 68 |
| 4 | SCHÖNBERGER Sebastian | 64 |
| 6 | MALUCELLI Matteo | 68 |
| 7 | GESBERT Élie | 63 |
| 8 | JOURNIAUX Axel | 63 |
| 11 | MACKINNON Sean | 75 |
| 15 | LAVERACK Edward | 62 |
| 16 | KERGOZOU DE LA BOESSIERE Nick | 74 |
| 17 | HOLMES Matthew | 67 |
| 21 | BENHAMOUDA Mehdi | 64 |
| 33 | MUDGWAY Luke | 65 |