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 = 2.3 * weight - 114
This means that on average for every extra kilogram weight a rider loses 2.3 positions in the result.
Kreuziger
1
65 kgŠpilak
2
68 kgBiesek
4
66 kgvan Amerongen
6
70 kgBoasson Hagen
7
75 kgKangert
10
65 kgHermans
14
72 kgGourgue
15
62 kgWyss
24
63 kgLudescher
43
72 kgAaen Jørgensen
47
63 kgGretsch
51
69 kgGesink
62
70 kgKönig
68
62 kgSteensen
72
65 kgJõeäär
75
84 kgReimer
89
69 kgForke
99
78 kgTaaramäe
106
73 kg
1
65 kgŠpilak
2
68 kgBiesek
4
66 kgvan Amerongen
6
70 kgBoasson Hagen
7
75 kgKangert
10
65 kgHermans
14
72 kgGourgue
15
62 kgWyss
24
63 kgLudescher
43
72 kgAaen Jørgensen
47
63 kgGretsch
51
69 kgGesink
62
70 kgKönig
68
62 kgSteensen
72
65 kgJõeäär
75
84 kgReimer
89
69 kgForke
99
78 kgTaaramäe
106
73 kg
Weight (KG) →
Result →
84
62
1
106
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KREUZIGER Roman | 65 |
| 2 | ŠPILAK Simon | 68 |
| 4 | BIESEK Szymon | 66 |
| 6 | VAN AMERONGEN Thijs | 70 |
| 7 | BOASSON HAGEN Edvald | 75 |
| 10 | KANGERT Tanel | 65 |
| 14 | HERMANS Ben | 72 |
| 15 | GOURGUE Benjamin | 62 |
| 24 | WYSS Marcel | 63 |
| 43 | LUDESCHER Philipp | 72 |
| 47 | AAEN JØRGENSEN Jonas | 63 |
| 51 | GRETSCH Patrick | 69 |
| 62 | GESINK Robert | 70 |
| 68 | KÖNIG Leopold | 62 |
| 72 | STEENSEN André | 65 |
| 75 | JÕEÄÄR Gert | 84 |
| 89 | REIMER Martin | 69 |
| 99 | FORKE Sebastian | 78 |
| 106 | TAARAMÄE Rein | 73 |