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 = 1.7 * weight - 78
This means that on average for every extra kilogram weight a rider loses 1.7 positions in the result.
Kuschynski
1
65 kgLjungblad
4
70 kgCarlström
5
70 kgLampater
10
75 kgStrgar
11
62 kgKvasina
14
72 kgBožič
18
70 kgBonča
23
63 kgMahorič
24
68 kgEibegger
26
68 kgKocjan
27
72 kgBole
28
69 kgBrajkovič
37
60 kgJovanović
49
60 kgLiese
68
75 kgBengsch
73
85 kgPichler
79
70 kgBenetseder
88
65 kgGoesinnen
93
75 kgMol
94
83 kgTeutenberg
97
66 kg
1
65 kgLjungblad
4
70 kgCarlström
5
70 kgLampater
10
75 kgStrgar
11
62 kgKvasina
14
72 kgBožič
18
70 kgBonča
23
63 kgMahorič
24
68 kgEibegger
26
68 kgKocjan
27
72 kgBole
28
69 kgBrajkovič
37
60 kgJovanović
49
60 kgLiese
68
75 kgBengsch
73
85 kgPichler
79
70 kgBenetseder
88
65 kgGoesinnen
93
75 kgMol
94
83 kgTeutenberg
97
66 kg
Weight (KG) →
Result →
85
60
1
97
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KUSCHYNSKI Aleksandr | 65 |
| 4 | LJUNGBLAD Jonas | 70 |
| 5 | CARLSTRÖM Kjell | 70 |
| 10 | LAMPATER Leif | 75 |
| 11 | STRGAR Matic | 62 |
| 14 | KVASINA Matija | 72 |
| 18 | BOŽIČ Borut | 70 |
| 23 | BONČA Valter | 63 |
| 24 | MAHORIČ Mitja | 68 |
| 26 | EIBEGGER Markus | 68 |
| 27 | KOCJAN Jure | 72 |
| 28 | BOLE Grega | 69 |
| 37 | BRAJKOVIČ Janez | 60 |
| 49 | JOVANOVIĆ Nebojša | 60 |
| 68 | LIESE Thomas | 75 |
| 73 | BENGSCH Robert | 85 |
| 79 | PICHLER Michael | 70 |
| 88 | BENETSEDER Josef | 65 |
| 93 | GOESINNEN Floris | 75 |
| 94 | MOL Wouter | 83 |
| 97 | TEUTENBERG Sven | 66 |