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 * weight - 25
This means that on average for every extra kilogram weight a rider loses 1 positions in the result.
Clement
4
66 kgGolčer
12
66.5 kgHoogerland
13
65 kgStrgar
19
62 kgSiedler
20
75 kgRiška
25
73 kgCurvers
30
73 kgBrajkovič
36
60 kgMahorič
40
68 kgVansummeren
43
79 kgGazvoda
50
72 kgKocjan
57
72 kgRogina
61
70 kgNiemiec
64
62 kgMuravyev
68
75 kgVan Hecke
80
69 kgCarlström
88
70 kg
4
66 kgGolčer
12
66.5 kgHoogerland
13
65 kgStrgar
19
62 kgSiedler
20
75 kgRiška
25
73 kgCurvers
30
73 kgBrajkovič
36
60 kgMahorič
40
68 kgVansummeren
43
79 kgGazvoda
50
72 kgKocjan
57
72 kgRogina
61
70 kgNiemiec
64
62 kgMuravyev
68
75 kgVan Hecke
80
69 kgCarlström
88
70 kg
Weight (KG) →
Result →
79
60
4
88
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | CLEMENT Stef | 66 |
| 12 | GOLČER Jure | 66.5 |
| 13 | HOOGERLAND Johnny | 65 |
| 19 | STRGAR Matic | 62 |
| 20 | SIEDLER Sebastian | 75 |
| 25 | RIŠKA Martin | 73 |
| 30 | CURVERS Roy | 73 |
| 36 | BRAJKOVIČ Janez | 60 |
| 40 | MAHORIČ Mitja | 68 |
| 43 | VANSUMMEREN Johan | 79 |
| 50 | GAZVODA Gregor | 72 |
| 57 | KOCJAN Jure | 72 |
| 61 | ROGINA Radoslav | 70 |
| 64 | NIEMIEC Przemysław | 62 |
| 68 | MURAVYEV Dmitriy | 75 |
| 80 | VAN HECKE Preben | 69 |
| 88 | CARLSTRÖM Kjell | 70 |