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 = -1.6 * weight + 148
This means that on average for every extra kilogram weight a rider loses -1.6 positions in the result.
Boulahoite
3
75 kgKarić
6
78 kgPérez-Landaluce
8
70 kgSilva
14
69 kgTagliani
18
70 kgHennequin
20
64 kgFrancisco
25
62 kgBerhane
27
66 kgDuval
28
67 kgKhafi
32
65 kgVedel
43
57 kgMujika
47
60 kgGaledo
58
58 kgGainza
59
65 kgAziz
61
64 kgWięczkowski
69
63 kgBennett
75
58 kgGreen
76
70 kgÖzgür
78
75 kgSoula
79
68 kgParashchak
81
66 kg
3
75 kgKarić
6
78 kgPérez-Landaluce
8
70 kgSilva
14
69 kgTagliani
18
70 kgHennequin
20
64 kgFrancisco
25
62 kgBerhane
27
66 kgDuval
28
67 kgKhafi
32
65 kgVedel
43
57 kgMujika
47
60 kgGaledo
58
58 kgGainza
59
65 kgAziz
61
64 kgWięczkowski
69
63 kgBennett
75
58 kgGreen
76
70 kgÖzgür
78
75 kgSoula
79
68 kgParashchak
81
66 kg
Weight (KG) →
Result →
78
57
3
81
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | BOULAHOITE Rayan | 75 |
| 6 | KARIĆ Vedad | 78 |
| 8 | PÉREZ-LANDALUCE Eduardo | 70 |
| 14 | SILVA João | 69 |
| 18 | TAGLIANI Filippo | 70 |
| 20 | HENNEQUIN Paul | 64 |
| 25 | FRANCISCO Jude Gabriel | 62 |
| 27 | BERHANE Natnael | 66 |
| 28 | DUVAL Gwendy | 67 |
| 32 | KHAFI Oussama | 65 |
| 43 | VEDEL Gabin | 57 |
| 47 | MUJIKA Mikel | 60 |
| 58 | GALEDO Mark John Lexer | 58 |
| 59 | GAINZA Alejandro | 65 |
| 61 | AZIZ Mohab Youssef | 64 |
| 69 | WIĘCZKOWSKI Paweł | 63 |
| 75 | BENNETT Stéfan | 58 |
| 76 | GREEN Siméon | 70 |
| 78 | ÖZGÜR Batuhan | 75 |
| 79 | SOULA Guillaume | 68 |
| 81 | PARASHCHAK Yaroslav | 66 |