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 + 45
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MEIN Thomas | 71 |
| 2 | DE JONG Timo | 72 |
| 4 | RASENBERG Martijn | 78 |
| 8 | NEGRENTE Mattia | 65 |
| 9 | KUKRLE Michael | 73 |
| 10 | HEREMANS Joppe | 68 |
| 12 | OTTEMA Rick | 77 |
| 13 | HAVERDINGS David | 63 |
| 15 | FOX Matthew | 71 |
| 17 | GONOV Lev | 76 |
| 20 | KRAMER Jesse | 74 |
| 21 | WEULINK Meindert | 62 |
| 23 | GODFROID Olivier | 66 |
| 24 | JOCHUM Ben Felix | 76 |
| 25 | SAMBINELLO Mattia | 66 |
| 26 | KINGSTON Matthew | 76 |
| 29 | UMBA Santiago | 58 |