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 = -0.8 * weight + 90
This means that on average for every extra kilogram weight a rider loses -0.8 positions in the result.
Steensen
1
65 kgKvist
2
68 kgBoasson Hagen
4
75 kgReimer
5
69 kgTaaramäe
6
73 kgTybor
11
72 kgKangert
14
65 kgPfingsten
15
69 kgKittel
27
82 kgKump
28
68 kgSagan
32
65 kgStauff
34
82 kgForke
36
78 kgJõeäär
43
84 kgSaggiorato
55
58 kgGretsch
67
69 kgPaďour
69
59 kgKönig
70
62 kgČanecký
75
72 kgKrizek
80
74 kgCharucki
83
64 kg
1
65 kgKvist
2
68 kgBoasson Hagen
4
75 kgReimer
5
69 kgTaaramäe
6
73 kgTybor
11
72 kgKangert
14
65 kgPfingsten
15
69 kgKittel
27
82 kgKump
28
68 kgSagan
32
65 kgStauff
34
82 kgForke
36
78 kgJõeäär
43
84 kgSaggiorato
55
58 kgGretsch
67
69 kgPaďour
69
59 kgKönig
70
62 kgČanecký
75
72 kgKrizek
80
74 kgCharucki
83
64 kg
Weight (KG) →
Result →
84
58
1
83
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | STEENSEN André | 65 |
| 2 | KVIST Thomas Vedel | 68 |
| 4 | BOASSON HAGEN Edvald | 75 |
| 5 | REIMER Martin | 69 |
| 6 | TAARAMÄE Rein | 73 |
| 11 | TYBOR Patrik | 72 |
| 14 | KANGERT Tanel | 65 |
| 15 | PFINGSTEN Christoph | 69 |
| 27 | KITTEL Marcel | 82 |
| 28 | KUMP Marko | 68 |
| 32 | SAGAN Juraj | 65 |
| 34 | STAUFF Andreas | 82 |
| 36 | FORKE Sebastian | 78 |
| 43 | JÕEÄÄR Gert | 84 |
| 55 | SAGGIORATO Mirco | 58 |
| 67 | GRETSCH Patrick | 69 |
| 69 | PAĎOUR František | 59 |
| 70 | KÖNIG Leopold | 62 |
| 75 | ČANECKÝ Marek | 72 |
| 80 | KRIZEK Matthias | 74 |
| 83 | CHARUCKI Paweł | 64 |