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 * weight + 16
This means that on average for every extra kilogram weight a rider loses 0 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | WALSLEBEN Philipp | 66 |
| 2 | EWAN Caleb | 69 |
| 5 | SHIMIZU Miyataka | 60 |
| 6 | PEREZ Anthony | 70 |
| 7 | LAMOISSON Morgan | 69 |
| 9 | MARTIN Guillaume | 55 |
| 11 | MEISEN Marcel | 62 |
| 15 | KRIEGER Alexander | 71 |
| 16 | NAULEAU Bryan | 67 |
| 18 | ORJUELA Fernando | 60 |
| 19 | TUSVELD Martijn | 70 |
| 24 | KIRSCH Alex | 78 |
| 26 | HAVIK Yoeri | 66 |
| 28 | TEUNS Dylan | 64 |
| 30 | KOZHATAYEV Bakhtiyar | 62 |
| 31 | CAMPENAERTS Victor | 68 |
| 32 | MAGER Christian | 60 |