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 - 6
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
Fernandes
1
63 kgRodrigues
2
60 kgSchwarzmann
3
69 kgHayter
4
70 kgGesbert
5
63 kgMolly
6
61 kgLastra
7
64 kgMoreno
8
63 kgCasimiro
9
62 kgThomas
10
68 kgTouzé
11
69 kgGibbons
12
70 kgFinetto
13
62 kgIrisarri
14
66 kgAsgreen
15
75 kgBrandão
16
64 kgCanal
17
70 kgHenao
18
57 kgBou
19
62 kgSosa
20
52 kgCaldeira
21
76 kgBennett
22
73 kgPinto
23
68 kgBol
24
71 kgIrizar
25
67 kg
1
63 kgRodrigues
2
60 kgSchwarzmann
3
69 kgHayter
4
70 kgGesbert
5
63 kgMolly
6
61 kgLastra
7
64 kgMoreno
8
63 kgCasimiro
9
62 kgThomas
10
68 kgTouzé
11
69 kgGibbons
12
70 kgFinetto
13
62 kgIrisarri
14
66 kgAsgreen
15
75 kgBrandão
16
64 kgCanal
17
70 kgHenao
18
57 kgBou
19
62 kgSosa
20
52 kgCaldeira
21
76 kgBennett
22
73 kgPinto
23
68 kgBol
24
71 kgIrizar
25
67 kg
Weight (KG) →
Result →
76
52
1
25
# | Rider | Weight (KG) |
---|---|---|
1 | FERNANDES Luís | 63 |
2 | RODRIGUES João | 60 |
3 | SCHWARZMANN Michael | 69 |
4 | HAYTER Ethan | 70 |
5 | GESBERT Élie | 63 |
6 | MOLLY Kenny | 61 |
7 | LASTRA Jonathan | 64 |
8 | MORENO Javier | 63 |
9 | CASIMIRO Henrique | 62 |
10 | THOMAS Benjamin | 68 |
11 | TOUZÉ Damien | 69 |
12 | GIBBONS Ryan | 70 |
13 | FINETTO Mauro | 62 |
14 | IRISARRI Jon | 66 |
15 | ASGREEN Kasper | 75 |
16 | BRANDÃO Joni | 64 |
17 | CANAL Carlos | 70 |
18 | HENAO Sebastián | 57 |
19 | BOU Joan | 62 |
20 | SOSA Iván Ramiro | 52 |
21 | CALDEIRA Samuel José | 76 |
22 | BENNETT Sam | 73 |
23 | PINTO Pedro | 68 |
24 | BOL Jetse | 71 |
25 | IRIZAR Julen | 67 |