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 - 9
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
Bichot
1
67 kgJalabert
2
68 kgHuguet
3
66 kgRavard
4
62 kgFeillu
5
62 kgPedersen
6
62 kgCusin
7
65 kgLaurent
8
72 kgBérard
10
70 kgCaethoven
11
67 kgPaiani
14
77 kgTeychenne
15
68 kgPinot
20
63 kgGastauer
23
73 kgGuldhammer
25
66 kgAaen Jørgensen
37
63 kgJakin
38
71 kgBaldo
45
73 kgPeraud
49
62 kgGeorges
50
69 kgBär
53
66 kgVinther
55
68 kg
1
67 kgJalabert
2
68 kgHuguet
3
66 kgRavard
4
62 kgFeillu
5
62 kgPedersen
6
62 kgCusin
7
65 kgLaurent
8
72 kgBérard
10
70 kgCaethoven
11
67 kgPaiani
14
77 kgTeychenne
15
68 kgPinot
20
63 kgGastauer
23
73 kgGuldhammer
25
66 kgAaen Jørgensen
37
63 kgJakin
38
71 kgBaldo
45
73 kgPeraud
49
62 kgGeorges
50
69 kgBär
53
66 kgVinther
55
68 kg
Weight (KG) →
Result →
77
62
1
55
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BICHOT Freddy | 67 |
| 2 | JALABERT Nicolas | 68 |
| 3 | HUGUET Yann | 66 |
| 4 | RAVARD Anthony | 62 |
| 5 | FEILLU Romain | 62 |
| 6 | PEDERSEN Martin | 62 |
| 7 | CUSIN Rémi | 65 |
| 8 | LAURENT Christophe | 72 |
| 10 | BÉRARD Julien | 70 |
| 11 | CAETHOVEN Steven | 67 |
| 14 | PAIANI Jean-Lou | 77 |
| 15 | TEYCHENNE Mathieu | 68 |
| 20 | PINOT Thibaut | 63 |
| 23 | GASTAUER Ben | 73 |
| 25 | GULDHAMMER Rasmus | 66 |
| 37 | AAEN JØRGENSEN Jonas | 63 |
| 38 | JAKIN Alo | 71 |
| 45 | BALDO Nicolas | 73 |
| 49 | PERAUD Jean-Christophe | 62 |
| 50 | GEORGES Sylvain | 69 |
| 53 | BÄR Michael | 66 |
| 55 | VINTHER Troels Rønning | 68 |