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 = -1.1 * weight + 126
This means that on average for every extra kilogram weight a rider loses -1.1 positions in the result.
Jackowiak
4
65 kgRooni
16
72 kgBennetzen
17
72 kgKleibrant
31
61 kgDijkman
34
55 kgTammepuu
35
68 kgEkman
36
64 kgVassal
39
65 kgHewes
40
69 kgHaugetun
45
63 kgAdamski
46
66 kgPatras
53
69 kgRosato
58
57 kgJakobsons
67
68 kgMartinet
71
66 kgFitzgerald
84
73 kgHernandez
114
54 kgKőrösi
118
65 kgPrünster
126
67 kg
4
65 kgRooni
16
72 kgBennetzen
17
72 kgKleibrant
31
61 kgDijkman
34
55 kgTammepuu
35
68 kgEkman
36
64 kgVassal
39
65 kgHewes
40
69 kgHaugetun
45
63 kgAdamski
46
66 kgPatras
53
69 kgRosato
58
57 kgJakobsons
67
68 kgMartinet
71
66 kgFitzgerald
84
73 kgHernandez
114
54 kgKőrösi
118
65 kgPrünster
126
67 kg
Weight (KG) →
Result →
73
54
4
126
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | JACKOWIAK Jan Michal | 65 |
| 16 | ROONI Ron | 72 |
| 17 | BENNETZEN Lucca | 72 |
| 31 | KLEIBRANT Wilmer | 61 |
| 34 | DIJKMAN Daan | 55 |
| 35 | TAMMEPUU Riko | 68 |
| 36 | EKMAN Vilmer | 64 |
| 39 | VASSAL Théophile | 65 |
| 40 | HEWES Alex | 69 |
| 45 | HAUGETUN Kristian | 63 |
| 46 | ADAMSKI Kash | 66 |
| 53 | PATRAS Jakub | 69 |
| 58 | ROSATO Giacomo | 57 |
| 67 | JAKOBSONS Marks | 68 |
| 71 | MARTINET Valentin | 66 |
| 84 | FITZGERALD Max | 73 |
| 114 | HERNANDEZ Jan | 54 |
| 118 | KŐRÖSI Gábor | 65 |
| 126 | PRÜNSTER Felix | 67 |