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 + 32
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
Hammond
1
71 kgHorrillo
2
76 kgCarrara
3
67 kgNuyens
7
68 kgden Bakker
8
71 kgTrampusch
9
60 kg
1
71 kgHorrillo
2
76 kgCarrara
3
67 kgNuyens
7
68 kgden Bakker
8
71 kgTrampusch
9
60 kg
Weight (KG) →
Result →
76
60
1
9
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HAMMOND Roger | 71 |
| 2 | HORRILLO Pedro | 76 |
| 3 | CARRARA Matteo | 67 |
| 7 | NUYENS Nick | 68 |
| 8 | DEN BAKKER Maarten | 71 |
| 9 | TRAMPUSCH Gerhard | 60 |