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 - 19
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Urtasun
2
69 kgJaniaczyk
3
68 kgDuclos-Lassalle
4
63 kgRenders
5
63 kgErviti
9
82 kgPérez
13
66 kgLemoine
23
73 kg
2
69 kgJaniaczyk
3
68 kgDuclos-Lassalle
4
63 kgRenders
5
63 kgErviti
9
82 kgPérez
13
66 kgLemoine
23
73 kg
Weight (KG) →
Result →
82
63
2
23
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | URTASUN Pablo | 69 |
| 3 | JANIACZYK Błażej | 68 |
| 4 | DUCLOS-LASSALLE Hervé | 63 |
| 5 | RENDERS Sven | 63 |
| 9 | ERVITI Imanol | 82 |
| 13 | PÉREZ Alan | 66 |
| 23 | LEMOINE Cyril | 73 |