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 = -2.3 * weight + 178
This means that on average for every extra kilogram weight a rider loses -2.3 positions in the result.
Nolf
1
68 kgBaugnies
3
69 kgGallopin
4
69 kgSicard
8
63 kgReza
19
71 kgLodewyck
21
70 kgNauleau
27
67 kgHurel
82
66 kg
1
68 kgBaugnies
3
69 kgGallopin
4
69 kgSicard
8
63 kgReza
19
71 kgLodewyck
21
70 kgNauleau
27
67 kgHurel
82
66 kg
Weight (KG) →
Result →
71
63
1
82
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | NOLF Frederiek | 68 |
| 3 | BAUGNIES Jérôme | 69 |
| 4 | GALLOPIN Tony | 69 |
| 8 | SICARD Romain | 63 |
| 19 | REZA Kévin | 71 |
| 21 | LODEWYCK Klaas | 70 |
| 27 | NAULEAU Bryan | 67 |
| 82 | HUREL Tony | 66 |