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 = -0.6 * weight + 53
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
Dupont
1
72 kgBaestaens
2
68 kgFortin
3
78 kgKanter
4
68 kgGodrie
5
74 kgSpengler
6
78 kgKrieger
7
71 kgTouzé
8
69 kgPlanckaert
10
71 kgWhite
12
70 kgVan Zummeren
13
73 kgJurado
16
68 kgTrarieux
17
71 kgBouwmans
18
64 kgVan Breussegem
19
68 kgDi Sante
20
62 kgChristian
21
72 kgEenkhoorn
22
72 kgvan der Poel
23
75 kgWachter
24
72 kgTeychenne
25
68 kgCalleeuw
26
71 kg
1
72 kgBaestaens
2
68 kgFortin
3
78 kgKanter
4
68 kgGodrie
5
74 kgSpengler
6
78 kgKrieger
7
71 kgTouzé
8
69 kgPlanckaert
10
71 kgWhite
12
70 kgVan Zummeren
13
73 kgJurado
16
68 kgTrarieux
17
71 kgBouwmans
18
64 kgVan Breussegem
19
68 kgDi Sante
20
62 kgChristian
21
72 kgEenkhoorn
22
72 kgvan der Poel
23
75 kgWachter
24
72 kgTeychenne
25
68 kgCalleeuw
26
71 kg
Weight (KG) →
Result →
78
62
1
26
# | Rider | Weight (KG) |
---|---|---|
1 | DUPONT Timothy | 72 |
2 | BAESTAENS Vincent | 68 |
3 | FORTIN Filippo | 78 |
4 | KANTER Max | 68 |
5 | GODRIE Stan | 74 |
6 | SPENGLER Lukas | 78 |
7 | KRIEGER Alexander | 71 |
8 | TOUZÉ Damien | 69 |
10 | PLANCKAERT Edward | 71 |
12 | WHITE Curtis | 70 |
13 | VAN ZUMMEREN Stef | 73 |
16 | JURADO Christofer Robín | 68 |
17 | TRARIEUX Julien | 71 |
18 | BOUWMANS Dylan | 64 |
19 | VAN BREUSSEGEM Elias | 68 |
20 | DI SANTE Antonio | 62 |
21 | CHRISTIAN Mark | 72 |
22 | EENKHOORN Pascal | 72 |
23 | VAN DER POEL David | 75 |
24 | WACHTER Alexander | 72 |
25 | TEYCHENNE Mathieu | 68 |
26 | CALLEEUW Joeri | 71 |