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.
Gatto
2
67 kgFeillu
3
62 kgRaimbekov
4
66 kgGołaś
5
65 kgThomas
8
71 kgKochetkov
9
70 kgArashiro
10
64 kg
2
67 kgFeillu
3
62 kgRaimbekov
4
66 kgGołaś
5
65 kgThomas
8
71 kgKochetkov
9
70 kgArashiro
10
64 kg
Weight (KG) →
Result →
71
62
2
10
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | GATTO Oscar | 67 |
| 3 | FEILLU Romain | 62 |
| 4 | RAIMBEKOV Bolat | 66 |
| 5 | GOŁAŚ Michał | 65 |
| 8 | THOMAS Geraint | 71 |
| 9 | KOCHETKOV Pavel | 70 |
| 10 | ARASHIRO Yukiya | 64 |