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 = -0.3 * weight + 24
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Blain
1
82 kgDe Backer
2
73 kgMortensen
3
70 kgAckermann
5
62 kgVantomme
8
63 kg
1
82 kgDe Backer
2
73 kgMortensen
3
70 kgAckermann
5
62 kgVantomme
8
63 kg
Weight (KG) →
Result →
82
62
1
8
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BLAIN Alexandre | 82 |
| 2 | DE BACKER Bert | 73 |
| 3 | MORTENSEN Martin | 70 |
| 5 | ACKERMANN Silvère | 62 |
| 8 | VANTOMME Maxime | 63 |