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 = -0.1 * weight + 15
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Kvist
1
68 kgRoux
2
73 kgSteensen
3
65 kgVan Melsen
5
77 kgVinther
8
68 kgRossetto
13
68 kg
1
68 kgRoux
2
73 kgSteensen
3
65 kgVan Melsen
5
77 kgVinther
8
68 kgRossetto
13
68 kg
Weight (KG) →
Result →
77
65
1
13
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KVIST Thomas Vedel | 68 |
| 2 | ROUX Anthony | 73 |
| 3 | STEENSEN André | 65 |
| 5 | VAN MELSEN Kévin | 77 |
| 8 | VINTHER Troels Rønning | 68 |
| 13 | ROSSETTO Stéphane | 68 |