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 * weight + 14
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
Mondory
1
66 kgOroz
2
71 kgDion
3
65 kgKrivtsov
4
72 kgGarcía Acosta
5
76 kgAxelsson
6
73 kgPozzato
7
73 kgGasparotto
8
65 kgLastras
9
68 kgIgnatiev
10
67 kgCancellara
11
80 kgPoitschke
13
73 kgLöfkvist
14
70 kgKrauß
15
81 kgVila
16
67 kgRiccò
17
57 kgScognamiglio
18
67 kgFornaciari
19
80 kgLaverde
20
63 kgMartínez
21
70 kg
1
66 kgOroz
2
71 kgDion
3
65 kgKrivtsov
4
72 kgGarcía Acosta
5
76 kgAxelsson
6
73 kgPozzato
7
73 kgGasparotto
8
65 kgLastras
9
68 kgIgnatiev
10
67 kgCancellara
11
80 kgPoitschke
13
73 kgLöfkvist
14
70 kgKrauß
15
81 kgVila
16
67 kgRiccò
17
57 kgScognamiglio
18
67 kgFornaciari
19
80 kgLaverde
20
63 kgMartínez
21
70 kg
Weight (KG) →
Result →
81
57
1
21
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MONDORY Lloyd | 66 |
| 2 | OROZ Juan José | 71 |
| 3 | DION Renaud | 65 |
| 4 | KRIVTSOV Yuriy | 72 |
| 5 | GARCÍA ACOSTA José Vicente | 76 |
| 6 | AXELSSON Niklas | 73 |
| 7 | POZZATO Filippo | 73 |
| 8 | GASPAROTTO Enrico | 65 |
| 9 | LASTRAS Pablo | 68 |
| 10 | IGNATIEV Mikhail | 67 |
| 11 | CANCELLARA Fabian | 80 |
| 13 | POITSCHKE Enrico | 73 |
| 14 | LÖFKVIST Thomas | 70 |
| 15 | KRAUß Sven | 81 |
| 16 | VILA Francisco Javier | 67 |
| 17 | RICCÒ Riccardo | 57 |
| 18 | SCOGNAMIGLIO Carlo | 67 |
| 19 | FORNACIARI Paolo | 80 |
| 20 | LAVERDE Luis Felipe | 63 |
| 21 | MARTÍNEZ Egoi | 70 |