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 = -0.3 * weight + 61
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Strgar
6
62 kgSiedler
9
75 kgCurvers
12
73 kgNiemiec
15
62 kgMahorič
16
68 kgKocjan
20
72 kgGazvoda
25
72 kgVansummeren
28
79 kgRiška
32
73 kgGolčer
43
66.5 kgRogina
44
70 kgClement
50
66 kgCarlström
51
70 kgBrajkovič
56
60 kgVan Hecke
58
69 kgHoogerland
84
65 kgMuravyev
90
75 kg
6
62 kgSiedler
9
75 kgCurvers
12
73 kgNiemiec
15
62 kgMahorič
16
68 kgKocjan
20
72 kgGazvoda
25
72 kgVansummeren
28
79 kgRiška
32
73 kgGolčer
43
66.5 kgRogina
44
70 kgClement
50
66 kgCarlström
51
70 kgBrajkovič
56
60 kgVan Hecke
58
69 kgHoogerland
84
65 kgMuravyev
90
75 kg
Weight (KG) →
Result →
79
60
6
90
| # | Rider | Weight (KG) |
|---|---|---|
| 6 | STRGAR Matic | 62 |
| 9 | SIEDLER Sebastian | 75 |
| 12 | CURVERS Roy | 73 |
| 15 | NIEMIEC Przemysław | 62 |
| 16 | MAHORIČ Mitja | 68 |
| 20 | KOCJAN Jure | 72 |
| 25 | GAZVODA Gregor | 72 |
| 28 | VANSUMMEREN Johan | 79 |
| 32 | RIŠKA Martin | 73 |
| 43 | GOLČER Jure | 66.5 |
| 44 | ROGINA Radoslav | 70 |
| 50 | CLEMENT Stef | 66 |
| 51 | CARLSTRÖM Kjell | 70 |
| 56 | BRAJKOVIČ Janez | 60 |
| 58 | VAN HECKE Preben | 69 |
| 84 | HOOGERLAND Johnny | 65 |
| 90 | MURAVYEV Dmitriy | 75 |