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 = 1.5 * weight - 60
This means that on average for every extra kilogram weight a rider loses 1.5 positions in the result.
Ljungblad
1
70 kgStrgar
4
62 kgEibegger
7
68 kgKuschynski
14
65 kgCarlström
15
70 kgMahorič
16
68 kgKvasina
20
72 kgBrajkovič
22
60 kgBožič
25
70 kgMol
37
83 kgBenetseder
42
65 kgBonča
46
63 kgBole
59
69 kgKocjan
60
72 kgGoesinnen
63
75 kgTeutenberg
65
66 kgLiese
67
75 kgPichler
70
70 kgJovanović
75
60 kgBengsch
81
85 kgLampater
87
75 kg
1
70 kgStrgar
4
62 kgEibegger
7
68 kgKuschynski
14
65 kgCarlström
15
70 kgMahorič
16
68 kgKvasina
20
72 kgBrajkovič
22
60 kgBožič
25
70 kgMol
37
83 kgBenetseder
42
65 kgBonča
46
63 kgBole
59
69 kgKocjan
60
72 kgGoesinnen
63
75 kgTeutenberg
65
66 kgLiese
67
75 kgPichler
70
70 kgJovanović
75
60 kgBengsch
81
85 kgLampater
87
75 kg
Weight (KG) →
Result →
85
60
1
87
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LJUNGBLAD Jonas | 70 |
| 4 | STRGAR Matic | 62 |
| 7 | EIBEGGER Markus | 68 |
| 14 | KUSCHYNSKI Aleksandr | 65 |
| 15 | CARLSTRÖM Kjell | 70 |
| 16 | MAHORIČ Mitja | 68 |
| 20 | KVASINA Matija | 72 |
| 22 | BRAJKOVIČ Janez | 60 |
| 25 | BOŽIČ Borut | 70 |
| 37 | MOL Wouter | 83 |
| 42 | BENETSEDER Josef | 65 |
| 46 | BONČA Valter | 63 |
| 59 | BOLE Grega | 69 |
| 60 | KOCJAN Jure | 72 |
| 63 | GOESINNEN Floris | 75 |
| 65 | TEUTENBERG Sven | 66 |
| 67 | LIESE Thomas | 75 |
| 70 | PICHLER Michael | 70 |
| 75 | JOVANOVIĆ Nebojša | 60 |
| 81 | BENGSCH Robert | 85 |
| 87 | LAMPATER Leif | 75 |