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 = 1.5 * weight - 68
This means that on average for every extra kilogram weight a rider loses 1.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 6 | HUITEMA Jasper | 66 |
| 7 | ASKEY Ben | 70 |
| 8 | BRENNAN Matthew | 68 |
| 9 | BALDACCI Brandon | 63 |
| 12 | SCHAPER Marijn | 69 |
| 18 | BUSH Jacob | 58 |
| 19 | BOLLE Bert | 62 |
| 25 | KRANENBURG Joris | 62 |
| 41 | KOOL Tobias | 69 |
| 45 | TOUSSAINT Wouter | 64 |
| 49 | PEACE Oliver | 64 |
| 51 | VERGOUW Julian | 73 |
| 56 | DE VOS Seppe | 78 |
| 60 | DUBA Maxime | 85 |
| 66 | GRÖMMEL Rens | 70 |
| 74 | BLANNIN Noah | 65 |