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 = 0.9 * weight - 17
This means that on average for every extra kilogram weight a rider loses 0.9 positions in the result.
Špilak
1
68 kgKreuziger
5
65 kgGretsch
6
69 kgBiesek
13
66 kgKangert
14
65 kgBoasson Hagen
17
75 kgWyss
20
63 kgvan Amerongen
24
70 kgSteensen
26
65 kgForke
36
78 kgGourgue
40
62 kgGesink
48
70 kgLudescher
50
72 kgReimer
58
69 kgJõeäär
88
84 kgTaaramäe
103
73 kgAaen Jørgensen
105
63 kgKönig
106
62 kg
1
68 kgKreuziger
5
65 kgGretsch
6
69 kgBiesek
13
66 kgKangert
14
65 kgBoasson Hagen
17
75 kgWyss
20
63 kgvan Amerongen
24
70 kgSteensen
26
65 kgForke
36
78 kgGourgue
40
62 kgGesink
48
70 kgLudescher
50
72 kgReimer
58
69 kgJõeäär
88
84 kgTaaramäe
103
73 kgAaen Jørgensen
105
63 kgKönig
106
62 kg
Weight (KG) →
Result →
84
62
1
106
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ŠPILAK Simon | 68 |
| 5 | KREUZIGER Roman | 65 |
| 6 | GRETSCH Patrick | 69 |
| 13 | BIESEK Szymon | 66 |
| 14 | KANGERT Tanel | 65 |
| 17 | BOASSON HAGEN Edvald | 75 |
| 20 | WYSS Marcel | 63 |
| 24 | VAN AMERONGEN Thijs | 70 |
| 26 | STEENSEN André | 65 |
| 36 | FORKE Sebastian | 78 |
| 40 | GOURGUE Benjamin | 62 |
| 48 | GESINK Robert | 70 |
| 50 | LUDESCHER Philipp | 72 |
| 58 | REIMER Martin | 69 |
| 88 | JÕEÄÄR Gert | 84 |
| 103 | TAARAMÄE Rein | 73 |
| 105 | AAEN JØRGENSEN Jonas | 63 |
| 106 | KÖNIG Leopold | 62 |