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 = 0.5 * weight + 29
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
Rooni
4
72 kgDijkman
7
55 kgVassal
10
65 kgHewes
12
69 kgMartinet
19
66 kgKleibrant
24
61 kgJackowiak
51
65 kgEkman
52
64 kgBennetzen
54
72 kgRosato
56
57 kgAdamski
59
66 kgHaugetun
60
63 kgTammepuu
63
68 kgPatras
92
69 kgJakobsons
95
68 kgKőrösi
115
65 kgHernandez
129
54 kgPrünster
132
67 kgFitzgerald
134
73 kg
4
72 kgDijkman
7
55 kgVassal
10
65 kgHewes
12
69 kgMartinet
19
66 kgKleibrant
24
61 kgJackowiak
51
65 kgEkman
52
64 kgBennetzen
54
72 kgRosato
56
57 kgAdamski
59
66 kgHaugetun
60
63 kgTammepuu
63
68 kgPatras
92
69 kgJakobsons
95
68 kgKőrösi
115
65 kgHernandez
129
54 kgPrünster
132
67 kgFitzgerald
134
73 kg
Weight (KG) →
Result →
73
54
4
134
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | ROONI Ron | 72 |
| 7 | DIJKMAN Daan | 55 |
| 10 | VASSAL Théophile | 65 |
| 12 | HEWES Alex | 69 |
| 19 | MARTINET Valentin | 66 |
| 24 | KLEIBRANT Wilmer | 61 |
| 51 | JACKOWIAK Jan Michal | 65 |
| 52 | EKMAN Vilmer | 64 |
| 54 | BENNETZEN Lucca | 72 |
| 56 | ROSATO Giacomo | 57 |
| 59 | ADAMSKI Kash | 66 |
| 60 | HAUGETUN Kristian | 63 |
| 63 | TAMMEPUU Riko | 68 |
| 92 | PATRAS Jakub | 69 |
| 95 | JAKOBSONS Marks | 68 |
| 115 | KŐRÖSI Gábor | 65 |
| 129 | HERNANDEZ Jan | 54 |
| 132 | PRÜNSTER Felix | 67 |
| 134 | FITZGERALD Max | 73 |