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 = -0.6 * weight + 49
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
Martínez
1
70 kgLandaluze
2
65 kgHorrach
3
70 kgMayoz
4
62 kgPossoni
5
56 kgMartens
6
69 kgArrieta
7
68 kgAlbasini
8
65 kgMosquera
9
65 kgContador
10
61 kgBuffaz
11
64 kgLobato
12
64 kgDuque
13
59 kgCunego
14
58 kgRebellin
15
63 kgde la Fuente
16
67 kgBettini
17
58 kgTxurruka
18
58 kg
1
70 kgLandaluze
2
65 kgHorrach
3
70 kgMayoz
4
62 kgPossoni
5
56 kgMartens
6
69 kgArrieta
7
68 kgAlbasini
8
65 kgMosquera
9
65 kgContador
10
61 kgBuffaz
11
64 kgLobato
12
64 kgDuque
13
59 kgCunego
14
58 kgRebellin
15
63 kgde la Fuente
16
67 kgBettini
17
58 kgTxurruka
18
58 kg
Weight (KG) →
Result →
70
56
1
18
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MARTÍNEZ Egoi | 70 |
| 2 | LANDALUZE Iñigo | 65 |
| 3 | HORRACH Joan Sebastian | 70 |
| 4 | MAYOZ Iban | 62 |
| 5 | POSSONI Morris | 56 |
| 6 | MARTENS Paul | 69 |
| 7 | ARRIETA José Luis | 68 |
| 8 | ALBASINI Michael | 65 |
| 9 | MOSQUERA Ezequiel | 65 |
| 10 | CONTADOR Alberto | 61 |
| 11 | BUFFAZ Mickaël | 64 |
| 12 | LOBATO Rubén | 64 |
| 13 | DUQUE Leonardo Fabio | 59 |
| 14 | CUNEGO Damiano | 58 |
| 15 | REBELLIN Davide | 63 |
| 16 | DE LA FUENTE David | 67 |
| 17 | BETTINI Paolo | 58 |
| 18 | TXURRUKA Amets | 58 |