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 = -0.2 * weight + 23
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Martínez
1
70 kgPossoni
2
56 kgTxurruka
3
58 kgLandaluze
4
65 kgHorrach
5
70 kgMayoz
6
62 kgLloyd
7
62 kgMartens
8
69 kgArrieta
9
68 kgAlbasini
10
65 kgMosquera
11
65 kgContador
12
61 kgCataldo
13
64 kgStubbe
14
66 kgBuffaz
15
64 kgLobato
16
64 kgDuque
17
59 kgCunego
18
58 kgRebellin
19
63 kgde la Fuente
20
67 kgCuesta
21
62 kg
1
70 kgPossoni
2
56 kgTxurruka
3
58 kgLandaluze
4
65 kgHorrach
5
70 kgMayoz
6
62 kgLloyd
7
62 kgMartens
8
69 kgArrieta
9
68 kgAlbasini
10
65 kgMosquera
11
65 kgContador
12
61 kgCataldo
13
64 kgStubbe
14
66 kgBuffaz
15
64 kgLobato
16
64 kgDuque
17
59 kgCunego
18
58 kgRebellin
19
63 kgde la Fuente
20
67 kgCuesta
21
62 kg
Weight (KG) →
Result →
70
56
1
21
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MARTÍNEZ Egoi | 70 |
| 2 | POSSONI Morris | 56 |
| 3 | TXURRUKA Amets | 58 |
| 4 | LANDALUZE Iñigo | 65 |
| 5 | HORRACH Joan Sebastian | 70 |
| 6 | MAYOZ Iban | 62 |
| 7 | LLOYD Matthew | 62 |
| 8 | MARTENS Paul | 69 |
| 9 | ARRIETA José Luis | 68 |
| 10 | ALBASINI Michael | 65 |
| 11 | MOSQUERA Ezequiel | 65 |
| 12 | CONTADOR Alberto | 61 |
| 13 | CATALDO Dario | 64 |
| 14 | STUBBE Tom | 66 |
| 15 | BUFFAZ Mickaël | 64 |
| 16 | LOBATO Rubén | 64 |
| 17 | DUQUE Leonardo Fabio | 59 |
| 18 | CUNEGO Damiano | 58 |
| 19 | REBELLIN Davide | 63 |
| 20 | DE LA FUENTE David | 67 |
| 21 | CUESTA Iñigo | 62 |