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 = -0.4 * weight + 49
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
Zoccarato
1
74 kgBénéteau
2
58 kgTheiler
4
75 kgBezza
5
76 kgPietrobon
9
72 kgMaestri
10
73 kgSerrano
11
60 kgRenard-Haquin
12
74 kgRaugel
13
70 kgGrégoire
16
65 kgSchiffer
19
62 kgAdamietz
20
61 kgDe Tier
23
60 kgMiles
25
64 kgSevilla
32
64 kgChampion
37
66 kgDelacroix
38
70 kgGuillonnet
45
69 kgLightfoot
46
57 kgTetart
49
67 kgKrier
50
77 kg
1
74 kgBénéteau
2
58 kgTheiler
4
75 kgBezza
5
76 kgPietrobon
9
72 kgMaestri
10
73 kgSerrano
11
60 kgRenard-Haquin
12
74 kgRaugel
13
70 kgGrégoire
16
65 kgSchiffer
19
62 kgAdamietz
20
61 kgDe Tier
23
60 kgMiles
25
64 kgSevilla
32
64 kgChampion
37
66 kgDelacroix
38
70 kgGuillonnet
45
69 kgLightfoot
46
57 kgTetart
49
67 kgKrier
50
77 kg
Weight (KG) →
Result →
77
57
1
50
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ZOCCARATO Samuele | 74 |
| 2 | BÉNÉTEAU Lucas | 58 |
| 4 | THEILER Ole | 75 |
| 5 | BEZZA Quentin | 76 |
| 9 | PIETROBON Andrea | 72 |
| 10 | MAESTRI Mirco | 73 |
| 11 | SERRANO Javier | 60 |
| 12 | RENARD-HAQUIN Henri-François | 74 |
| 13 | RAUGEL Antoine | 70 |
| 16 | GRÉGOIRE Baptiste | 65 |
| 19 | SCHIFFER Anton | 62 |
| 20 | ADAMIETZ Johannes | 61 |
| 23 | DE TIER Floris | 60 |
| 25 | MILES Carson | 64 |
| 32 | SEVILLA Diego Pablo | 64 |
| 37 | CHAMPION Thomas | 66 |
| 38 | DELACROIX Théo | 70 |
| 45 | GUILLONNET Adrien | 69 |
| 46 | LIGHTFOOT Mark | 57 |
| 49 | TETART Lilian | 67 |
| 50 | KRIER Romain | 77 |