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 = 1.4 * weight - 54
This means that on average for every extra kilogram weight a rider loses 1.4 positions in the result.
Božič
1
70 kgLampater
10
75 kgBole
12
69 kgCarlström
14
70 kgStrgar
22
62 kgBrajkovič
26
60 kgBonča
28
63 kgMahorič
30
68 kgKuschynski
33
65 kgLjungblad
36
70 kgPichler
40
70 kgKocjan
42
72 kgKvasina
44
72 kgBenetseder
52
65 kgLiese
57
75 kgJovanović
63
60 kgEibegger
73
68 kgBengsch
78
85 kgMol
80
83 kgTeutenberg
87
66 kgGoesinnen
88
75 kg
1
70 kgLampater
10
75 kgBole
12
69 kgCarlström
14
70 kgStrgar
22
62 kgBrajkovič
26
60 kgBonča
28
63 kgMahorič
30
68 kgKuschynski
33
65 kgLjungblad
36
70 kgPichler
40
70 kgKocjan
42
72 kgKvasina
44
72 kgBenetseder
52
65 kgLiese
57
75 kgJovanović
63
60 kgEibegger
73
68 kgBengsch
78
85 kgMol
80
83 kgTeutenberg
87
66 kgGoesinnen
88
75 kg
Weight (KG) →
Result →
85
60
1
88
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BOŽIČ Borut | 70 |
| 10 | LAMPATER Leif | 75 |
| 12 | BOLE Grega | 69 |
| 14 | CARLSTRÖM Kjell | 70 |
| 22 | STRGAR Matic | 62 |
| 26 | BRAJKOVIČ Janez | 60 |
| 28 | BONČA Valter | 63 |
| 30 | MAHORIČ Mitja | 68 |
| 33 | KUSCHYNSKI Aleksandr | 65 |
| 36 | LJUNGBLAD Jonas | 70 |
| 40 | PICHLER Michael | 70 |
| 42 | KOCJAN Jure | 72 |
| 44 | KVASINA Matija | 72 |
| 52 | BENETSEDER Josef | 65 |
| 57 | LIESE Thomas | 75 |
| 63 | JOVANOVIĆ Nebojša | 60 |
| 73 | EIBEGGER Markus | 68 |
| 78 | BENGSCH Robert | 85 |
| 80 | MOL Wouter | 83 |
| 87 | TEUTENBERG Sven | 66 |
| 88 | GOESINNEN Floris | 75 |