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 = -0.5 * weight + 40
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
Tronet
1
67 kgHardy
2
62 kgCarbel
3
73 kgPacher
4
62 kgPineau
5
68 kgSkjerping
6
71 kgGerdemann
7
71 kgRoux
8
73 kgMolard
9
62 kgÁvila
10
61 kgContador
11
61 kgLoubet
12
66 kgVillella
13
66 kgMartínez
14
63 kgTxoperena
15
67 kgArroyo
16
63 kgFigueiredo
17
56 kgMontaguti
18
65 kg
1
67 kgHardy
2
62 kgCarbel
3
73 kgPacher
4
62 kgPineau
5
68 kgSkjerping
6
71 kgGerdemann
7
71 kgRoux
8
73 kgMolard
9
62 kgÁvila
10
61 kgContador
11
61 kgLoubet
12
66 kgVillella
13
66 kgMartínez
14
63 kgTxoperena
15
67 kgArroyo
16
63 kgFigueiredo
17
56 kgMontaguti
18
65 kg
Weight (KG) →
Result →
73
56
1
18
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | TRONET Steven | 67 |
| 2 | HARDY Romain | 62 |
| 3 | CARBEL Michael | 73 |
| 4 | PACHER Quentin | 62 |
| 5 | PINEAU Cédric | 68 |
| 6 | SKJERPING Kristoffer | 71 |
| 7 | GERDEMANN Linus | 71 |
| 8 | ROUX Anthony | 73 |
| 9 | MOLARD Rudy | 62 |
| 10 | ÁVILA Edwin | 61 |
| 11 | CONTADOR Alberto | 61 |
| 12 | LOUBET Julien | 66 |
| 13 | VILLELLA Davide | 66 |
| 14 | MARTÍNEZ Daniel Felipe | 63 |
| 15 | TXOPERENA Beñat | 67 |
| 16 | ARROYO David | 63 |
| 17 | FIGUEIREDO Frederico | 56 |
| 18 | MONTAGUTI Matteo | 65 |