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 = -1.7 * weight + 160
This means that on average for every extra kilogram weight a rider loses -1.7 positions in the result.
Berhane
3
66 kgBoulahoite
6
75 kgHennequin
10
64 kgKhafi
11
65 kgPérez-Landaluce
16
70 kgTagliani
21
70 kgKarić
31
78 kgSilva
32
69 kgMujika
39
60 kgÖzgür
41
75 kgGainza
51
65 kgFrancisco
56
62 kgAziz
62
64 kgWięczkowski
63
63 kgDuval
66
67 kgParashchak
67
66 kgGaledo
70
58 kgVedel
71
60 kgGreen
77
70 kgSoula
78
68 kg
3
66 kgBoulahoite
6
75 kgHennequin
10
64 kgKhafi
11
65 kgPérez-Landaluce
16
70 kgTagliani
21
70 kgKarić
31
78 kgSilva
32
69 kgMujika
39
60 kgÖzgür
41
75 kgGainza
51
65 kgFrancisco
56
62 kgAziz
62
64 kgWięczkowski
63
63 kgDuval
66
67 kgParashchak
67
66 kgGaledo
70
58 kgVedel
71
60 kgGreen
77
70 kgSoula
78
68 kg
Weight (KG) →
Result →
78
58
3
78
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | BERHANE Natnael | 66 |
| 6 | BOULAHOITE Rayan | 75 |
| 10 | HENNEQUIN Paul | 64 |
| 11 | KHAFI Oussama | 65 |
| 16 | PÉREZ-LANDALUCE Eduardo | 70 |
| 21 | TAGLIANI Filippo | 70 |
| 31 | KARIĆ Vedad | 78 |
| 32 | SILVA João | 69 |
| 39 | MUJIKA Mikel | 60 |
| 41 | ÖZGÜR Batuhan | 75 |
| 51 | GAINZA Alejandro | 65 |
| 56 | FRANCISCO Jude Gabriel | 62 |
| 62 | AZIZ Mohab Youssef | 64 |
| 63 | WIĘCZKOWSKI Paweł | 63 |
| 66 | DUVAL Gwendy | 67 |
| 67 | PARASHCHAK Yaroslav | 66 |
| 70 | GALEDO Mark John Lexer | 58 |
| 71 | VEDEL Gabin | 60 |
| 77 | GREEN Siméon | 70 |
| 78 | SOULA Guillaume | 68 |