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 = 0.7 * weight - 18
This means that on average for every extra kilogram weight a rider loses 0.7 positions in the result.
Kreuziger
1
65 kgWyss
6
63 kgBiesek
11
66 kgKönig
12
62 kgLudescher
16
72 kgTaaramäe
18
68 kgGretsch
20
69 kgGourgue
21
62 kgKangert
28
65 kgJõeäär
30
84 kgForke
40
78 kgGesink
41
70 kgvan Amerongen
44
70 kgReimer
51
69 kgBoasson Hagen
56
75 kgAaen Jørgensen
60
63 kgSteensen
63
65 kgŠpilak
64
68 kg
1
65 kgWyss
6
63 kgBiesek
11
66 kgKönig
12
62 kgLudescher
16
72 kgTaaramäe
18
68 kgGretsch
20
69 kgGourgue
21
62 kgKangert
28
65 kgJõeäär
30
84 kgForke
40
78 kgGesink
41
70 kgvan Amerongen
44
70 kgReimer
51
69 kgBoasson Hagen
56
75 kgAaen Jørgensen
60
63 kgSteensen
63
65 kgŠpilak
64
68 kg
Weight (KG) →
Result →
84
62
1
64
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KREUZIGER Roman | 65 |
| 6 | WYSS Marcel | 63 |
| 11 | BIESEK Szymon | 66 |
| 12 | KÖNIG Leopold | 62 |
| 16 | LUDESCHER Philipp | 72 |
| 18 | TAARAMÄE Rein | 68 |
| 20 | GRETSCH Patrick | 69 |
| 21 | GOURGUE Benjamin | 62 |
| 28 | KANGERT Tanel | 65 |
| 30 | JÕEÄÄR Gert | 84 |
| 40 | FORKE Sebastian | 78 |
| 41 | GESINK Robert | 70 |
| 44 | VAN AMERONGEN Thijs | 70 |
| 51 | REIMER Martin | 69 |
| 56 | BOASSON HAGEN Edvald | 75 |
| 60 | AAEN JØRGENSEN Jonas | 63 |
| 63 | STEENSEN André | 65 |
| 64 | ŠPILAK Simon | 68 |