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 = -0.3 * weight + 34
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Vichot
1
74 kgHushovd
2
83 kgBoom
3
75 kgOss
4
75 kgDumoulin
5
57 kgGarcía
6
70 kgSlagter
7
57 kgten Dam
8
67 kgJules
9
64 kgSimon
10
65 kgFédrigo
11
66 kgDrujon
12
75 kgRoche
13
70 kgJérôme
15
65 kgGérard
17
70 kgFonseca
18
56 kgVuillermoz
20
60 kgHaussler
21
74 kgNerz
22
67 kgBonnafond
23
68 kgMonfort
24
66 kg
1
74 kgHushovd
2
83 kgBoom
3
75 kgOss
4
75 kgDumoulin
5
57 kgGarcía
6
70 kgSlagter
7
57 kgten Dam
8
67 kgJules
9
64 kgSimon
10
65 kgFédrigo
11
66 kgDrujon
12
75 kgRoche
13
70 kgJérôme
15
65 kgGérard
17
70 kgFonseca
18
56 kgVuillermoz
20
60 kgHaussler
21
74 kgNerz
22
67 kgBonnafond
23
68 kgMonfort
24
66 kg
Weight (KG) →
Result →
83
56
1
24
# | Rider | Weight (KG) |
---|---|---|
1 | VICHOT Arthur | 74 |
2 | HUSHOVD Thor | 83 |
3 | BOOM Lars | 75 |
4 | OSS Daniel | 75 |
5 | DUMOULIN Samuel | 57 |
6 | GARCÍA Egoitz | 70 |
7 | SLAGTER Tom-Jelte | 57 |
8 | TEN DAM Laurens | 67 |
9 | JULES Justin | 64 |
10 | SIMON Julien | 65 |
11 | FÉDRIGO Pierrick | 66 |
12 | DRUJON Mathieu | 75 |
13 | ROCHE Nicolas | 70 |
15 | JÉRÔME Vincent | 65 |
17 | GÉRARD Arnaud | 70 |
18 | FONSECA Armindo | 56 |
20 | VUILLERMOZ Alexis | 60 |
21 | HAUSSLER Heinrich | 74 |
22 | NERZ Dominik | 67 |
23 | BONNAFOND Guillaume | 68 |
24 | MONFORT Maxime | 66 |