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 - 91
This means that on average for every extra kilogram weight a rider loses 1.8 positions in the result.
Mahorič
2
68 kgKvasina
4
72 kgStrgar
5
62 kgKuschynski
6
65 kgBrajkovič
7
60 kgBole
11
69 kgCarlström
12
70 kgBonča
13
63 kgEibegger
15
68 kgLjungblad
20
70 kgKocjan
23
72 kgLiese
36
75 kgGoesinnen
44
75 kgLampater
49
75 kgJovanović
59
60 kgMol
65
83 kgPichler
68
70 kgTeutenberg
77
66 kgBenetseder
79
65 kgBengsch
89
85 kg
2
68 kgKvasina
4
72 kgStrgar
5
62 kgKuschynski
6
65 kgBrajkovič
7
60 kgBole
11
69 kgCarlström
12
70 kgBonča
13
63 kgEibegger
15
68 kgLjungblad
20
70 kgKocjan
23
72 kgLiese
36
75 kgGoesinnen
44
75 kgLampater
49
75 kgJovanović
59
60 kgMol
65
83 kgPichler
68
70 kgTeutenberg
77
66 kgBenetseder
79
65 kgBengsch
89
85 kg
Weight (KG) →
Result →
85
60
2
89
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | MAHORIČ Mitja | 68 |
| 4 | KVASINA Matija | 72 |
| 5 | STRGAR Matic | 62 |
| 6 | KUSCHYNSKI Aleksandr | 65 |
| 7 | BRAJKOVIČ Janez | 60 |
| 11 | BOLE Grega | 69 |
| 12 | CARLSTRÖM Kjell | 70 |
| 13 | BONČA Valter | 63 |
| 15 | EIBEGGER Markus | 68 |
| 20 | LJUNGBLAD Jonas | 70 |
| 23 | KOCJAN Jure | 72 |
| 36 | LIESE Thomas | 75 |
| 44 | GOESINNEN Floris | 75 |
| 49 | LAMPATER Leif | 75 |
| 59 | JOVANOVIĆ Nebojša | 60 |
| 65 | MOL Wouter | 83 |
| 68 | PICHLER Michael | 70 |
| 77 | TEUTENBERG Sven | 66 |
| 79 | BENETSEDER Josef | 65 |
| 89 | BENGSCH Robert | 85 |