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 = 0.7 * weight - 33
This means that on average for every extra kilogram weight a rider loses 0.7 positions in the result.
Koretzky
1
66 kgCombaud
2
63 kgVaubourzeix
3
70 kgEl Fares
7
62 kgKonovalovas
8
74 kgGeslin
9
68 kgCecchin
10
70 kgPérichon
11
69 kgCampenaerts
12
68 kgVantomme
13
63 kgGonçalves
14
70 kgTurgis
15
70 kgBagües
16
67 kgPaillot
17
72 kgPasqualon
18
75 kgMeurisse
19
71 kgPacher
20
62 kgSáez
22
75 kgAntomarchi
23
70 kgJakin
25
71 kg
1
66 kgCombaud
2
63 kgVaubourzeix
3
70 kgEl Fares
7
62 kgKonovalovas
8
74 kgGeslin
9
68 kgCecchin
10
70 kgPérichon
11
69 kgCampenaerts
12
68 kgVantomme
13
63 kgGonçalves
14
70 kgTurgis
15
70 kgBagües
16
67 kgPaillot
17
72 kgPasqualon
18
75 kgMeurisse
19
71 kgPacher
20
62 kgSáez
22
75 kgAntomarchi
23
70 kgJakin
25
71 kg
Weight (KG) →
Result →
75
62
1
25
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KORETZKY Clément | 66 |
| 2 | COMBAUD Romain | 63 |
| 3 | VAUBOURZEIX Thomas | 70 |
| 7 | EL FARES Julien | 62 |
| 8 | KONOVALOVAS Ignatas | 74 |
| 9 | GESLIN Anthony | 68 |
| 10 | CECCHIN Alberto | 70 |
| 11 | PÉRICHON Pierre-Luc | 69 |
| 12 | CAMPENAERTS Victor | 68 |
| 13 | VANTOMME Maxime | 63 |
| 14 | GONÇALVES José | 70 |
| 15 | TURGIS Anthony | 70 |
| 16 | BAGÜES Aritz | 67 |
| 17 | PAILLOT Yoann | 72 |
| 18 | PASQUALON Andrea | 75 |
| 19 | MEURISSE Xandro | 71 |
| 20 | PACHER Quentin | 62 |
| 22 | SÁEZ Héctor | 75 |
| 23 | ANTOMARCHI Julien | 70 |
| 25 | JAKIN Alo | 71 |