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 - 17
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HIGUITA Sergio | 57 |
| 2 | EVENEPOEL Remco | 61 |
| 3 | LEKNESSUND Andreas | 72 |
| 4 | KRON Andreas | 63 |
| 5 | BURGAUDEAU Mathieu | 61 |
| 6 | BERTHET Clément | 68 |
| 7 | CHAMPOUSSIN Clément | 61 |
| 8 | MONIQUET Sylvain | 61 |
| 9 | VOISARD Yannis | 56 |
| 10 | PRODHOMME Nicolas | 63 |
| 11 | RUTSCH Jonas | 82 |
| 12 | SIMMONS Quinn | 73 |
| 13 | VAN MOER Brent | 79 |
| 14 | JACOBS Johan | 78 |
| 15 | FROIDEVAUX Robin | 71 |
| 16 | ASKEY Lewis | 75 |