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 = 0.6 * weight - 15
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
Jussaume
4
70 kgTuazon
17
55 kgPickrell
21
72 kgFroner
26
63 kgCarreau
32
68 kgRussell
41
64 kgSirman
47
77 kg
4
70 kgTuazon
17
55 kgPickrell
21
72 kgFroner
26
63 kgCarreau
32
68 kgRussell
41
64 kgSirman
47
77 kg
Weight (KG) →
Result →
77
55
4
47
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | JUSSAUME Tristan | 70 |
| 17 | TUAZON Ron Francoise | 55 |
| 21 | PICKRELL Riley | 72 |
| 26 | FRONER Axel | 63 |
| 32 | CARREAU Lukas | 68 |
| 41 | RUSSELL Evan | 64 |
| 47 | SIRMAN Jack | 77 |