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 = -1.8 * weight + 176
This means that on average for every extra kilogram weight a rider loses -1.8 positions in the result.
Rogina
2
70 kgMoberg Jørgensen
7
73 kgGraf
13
72 kgVrečer
14
68 kgJarc
15
87 kgKump
18
68 kgNakajima
20
64 kgSelig
26
80 kgSano
30
76 kgKrizek
31
74 kgBajc
32
65 kgMarin
34
67 kgSchulze
45
70 kgMezgec
53
72 kgĐurasek
74
56 kgMurn
82
70 kgKvasina
83
72 kgŠtimulak
88
64 kgTratnik
90
67 kgBenčík
104
73 kgWerda
117
66 kg
2
70 kgMoberg Jørgensen
7
73 kgGraf
13
72 kgVrečer
14
68 kgJarc
15
87 kgKump
18
68 kgNakajima
20
64 kgSelig
26
80 kgSano
30
76 kgKrizek
31
74 kgBajc
32
65 kgMarin
34
67 kgSchulze
45
70 kgMezgec
53
72 kgĐurasek
74
56 kgMurn
82
70 kgKvasina
83
72 kgŠtimulak
88
64 kgTratnik
90
67 kgBenčík
104
73 kgWerda
117
66 kg
Weight (KG) →
Result →
87
56
2
117
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | ROGINA Radoslav | 70 |
| 7 | MOBERG JØRGENSEN Christian | 73 |
| 13 | GRAF Andreas | 72 |
| 14 | VREČER Robert | 68 |
| 15 | JARC Blaž | 87 |
| 18 | KUMP Marko | 68 |
| 20 | NAKAJIMA Yasuharu | 64 |
| 26 | SELIG Rüdiger | 80 |
| 30 | SANO Junya | 76 |
| 31 | KRIZEK Matthias | 74 |
| 32 | BAJC Andi | 65 |
| 34 | MARIN Matej | 67 |
| 45 | SCHULZE André | 70 |
| 53 | MEZGEC Luka | 72 |
| 74 | ĐURASEK Kristijan | 56 |
| 82 | MURN Uroš | 70 |
| 83 | KVASINA Matija | 72 |
| 88 | ŠTIMULAK Klemen | 64 |
| 90 | TRATNIK Jan | 67 |
| 104 | BENČÍK Petr | 73 |
| 117 | WERDA Maximilian | 66 |