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 - 13
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CHERNETSKI Sergei | 63 |
| 2 | KRISTOFF Alexander | 78 |
| 3 | TULIK Angélo | 64 |
| 5 | JANSEN Amund Grøndahl | 83 |
| 6 | TEUNISSEN Mike | 73 |
| 7 | VAN ASBROECK Tom | 72 |
| 8 | WAEYTENS Zico | 67 |
| 9 | WAGNER Robert | 75 |
| 10 | GODRIE Stan | 74 |
| 11 | VANBILSEN Kenneth | 73 |
| 12 | BRAMMEIER Matt | 72 |
| 13 | VANMARCKE Sep | 77 |
| 16 | AVERY Clinton | 90 |
| 17 | BELKOV Maxim | 71 |