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 = 2.6 * weight - 136
This means that on average for every extra kilogram weight a rider loses 2.6 positions in the result.
Gravelle
4
62 kgDijkman
10
55 kgRooni
18
72 kgWrona
57
67 kgLefevre
58
75 kgHuitema
69
72 kg
4
62 kgDijkman
10
55 kgRooni
18
72 kgWrona
57
67 kgLefevre
58
75 kgHuitema
69
72 kg
Weight (KG) →
Result →
75
55
4
69
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | GRAVELLE Rory | 62 |
| 10 | DIJKMAN Daan | 55 |
| 18 | ROONI Ron | 72 |
| 57 | WRONA Szymon | 67 |
| 58 | LEFEVRE Fabrice | 75 |
| 69 | HUITEMA Thomas | 72 |