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 - 24
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
Latour
1
66 kgBernal
2
60 kgMartin
3
55 kgGaudu
4
53 kgMartínez
5
63 kgTolhoek
6
61 kgKragh Andersen
7
73 kgKüng
8
83 kgSoler
9
68 kgCort
10
68 kgMühlberger
11
64 kgGesbert
12
63 kgPolitt
13
80 kgBoudat
14
70 kgLedanois
15
67 kgSmith
16
67 kgGogl
17
71 kgTurgis
18
70 kgGrellier
19
65 kgLe Gac
20
70 kgTroia
21
80 kgRoosen
22
78 kgJansen
23
83 kgDe Buyst
24
72 kg
1
66 kgBernal
2
60 kgMartin
3
55 kgGaudu
4
53 kgMartínez
5
63 kgTolhoek
6
61 kgKragh Andersen
7
73 kgKüng
8
83 kgSoler
9
68 kgCort
10
68 kgMühlberger
11
64 kgGesbert
12
63 kgPolitt
13
80 kgBoudat
14
70 kgLedanois
15
67 kgSmith
16
67 kgGogl
17
71 kgTurgis
18
70 kgGrellier
19
65 kgLe Gac
20
70 kgTroia
21
80 kgRoosen
22
78 kgJansen
23
83 kgDe Buyst
24
72 kg
Weight (KG) →
Result →
83
53
1
24
# | Rider | Weight (KG) |
---|---|---|
1 | LATOUR Pierre | 66 |
2 | BERNAL Egan | 60 |
3 | MARTIN Guillaume | 55 |
4 | GAUDU David | 53 |
5 | MARTÍNEZ Daniel Felipe | 63 |
6 | TOLHOEK Antwan | 61 |
7 | KRAGH ANDERSEN Søren | 73 |
8 | KÜNG Stefan | 83 |
9 | SOLER Marc | 68 |
10 | CORT Magnus | 68 |
11 | MÜHLBERGER Gregor | 64 |
12 | GESBERT Élie | 63 |
13 | POLITT Nils | 80 |
14 | BOUDAT Thomas | 70 |
15 | LEDANOIS Kévin | 67 |
16 | SMITH Dion | 67 |
17 | GOGL Michael | 71 |
18 | TURGIS Anthony | 70 |
19 | GRELLIER Fabien | 65 |
20 | LE GAC Olivier | 70 |
21 | TROIA Oliviero | 80 |
22 | ROOSEN Timo | 78 |
23 | JANSEN Amund Grøndahl | 83 |
24 | DE BUYST Jasper | 72 |