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 = -0.9 * weight + 81
This means that on average for every extra kilogram weight a rider loses -0.9 positions in the result.
Hennequin
1
64 kgTagliani
2
70 kgÖzgür
3
75 kgBoulahoite
5
75 kgKlopper
14
74 kgWięczkowski
15
63 kgGaledo
17
58 kgBennett
20
58 kgBerhane
21
66 kgStedman
28
54 kgPérez-Landaluce
29
70 kgSilva
30
69 kgMujika
31
60 kgPeyroton-Dartet
38
65 kgKhafi
40
65 kgFrancisco
43
62 kg
1
64 kgTagliani
2
70 kgÖzgür
3
75 kgBoulahoite
5
75 kgKlopper
14
74 kgWięczkowski
15
63 kgGaledo
17
58 kgBennett
20
58 kgBerhane
21
66 kgStedman
28
54 kgPérez-Landaluce
29
70 kgSilva
30
69 kgMujika
31
60 kgPeyroton-Dartet
38
65 kgKhafi
40
65 kgFrancisco
43
62 kg
Weight (KG) →
Result →
75
54
1
43
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HENNEQUIN Paul | 64 |
| 2 | TAGLIANI Filippo | 70 |
| 3 | ÖZGÜR Batuhan | 75 |
| 5 | BOULAHOITE Rayan | 75 |
| 14 | KLOPPER Christiaan | 74 |
| 15 | WIĘCZKOWSKI Paweł | 63 |
| 17 | GALEDO Mark John Lexer | 58 |
| 20 | BENNETT Stéfan | 58 |
| 21 | BERHANE Natnael | 66 |
| 28 | STEDMAN Maximilian | 54 |
| 29 | PÉREZ-LANDALUCE Eduardo | 70 |
| 30 | SILVA João | 69 |
| 31 | MUJIKA Mikel | 60 |
| 38 | PEYROTON-DARTET Thomas | 65 |
| 40 | KHAFI Oussama | 65 |
| 43 | FRANCISCO Jude Gabriel | 62 |