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 + 51
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
Boivin
1
78 kgStuyven
2
78 kgReijnen
5
63 kgPeron
6
70 kgPutt
8
75 kgFriedemann
9
75 kgMancebo
10
64 kgDeignan
11
65 kgRosskopf
13
74 kgJones
14
64 kgMilán
15
67 kgButler
16
61 kgBrown
18
65 kgDay
19
68 kgMeier
20
61 kgWoods
22
62 kgEuser
23
56 kgCataford
25
70 kgDuchesne
29
75 kgMcCarty
32
68 kgLachance
33
72 kgCarlsen
34
68 kgMegías
35
63 kgGaimon
38
67 kgde Maar
39
70 kg
1
78 kgStuyven
2
78 kgReijnen
5
63 kgPeron
6
70 kgPutt
8
75 kgFriedemann
9
75 kgMancebo
10
64 kgDeignan
11
65 kgRosskopf
13
74 kgJones
14
64 kgMilán
15
67 kgButler
16
61 kgBrown
18
65 kgDay
19
68 kgMeier
20
61 kgWoods
22
62 kgEuser
23
56 kgCataford
25
70 kgDuchesne
29
75 kgMcCarty
32
68 kgLachance
33
72 kgCarlsen
34
68 kgMegías
35
63 kgGaimon
38
67 kgde Maar
39
70 kg
Weight (KG) →
Result →
78
56
1
39
# | Rider | Weight (KG) |
---|---|---|
1 | BOIVIN Guillaume | 78 |
2 | STUYVEN Jasper | 78 |
5 | REIJNEN Kiel | 63 |
6 | PERON Andrea | 70 |
8 | PUTT Tanner | 75 |
9 | FRIEDEMANN Matthias | 75 |
10 | MANCEBO Francisco | 64 |
11 | DEIGNAN Philip | 65 |
13 | ROSSKOPF Joey | 74 |
14 | JONES Carter | 64 |
15 | MILÁN Diego | 67 |
16 | BUTLER Chris | 61 |
18 | BROWN Nathan | 65 |
19 | DAY Benjamin | 68 |
20 | MEIER Christian | 61 |
22 | WOODS Michael | 62 |
23 | EUSER Lucas | 56 |
25 | CATAFORD Alexander | 70 |
29 | DUCHESNE Antoine | 75 |
32 | MCCARTY Jonathan Patrick | 68 |
33 | LACHANCE Jean-Michel | 72 |
34 | CARLSEN Kirk | 68 |
35 | MEGÍAS Javier | 63 |
38 | GAIMON Phillip | 67 |
39 | DE MAAR Marc | 70 |