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 = 0.1 * weight + 5
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Roglič
1
65 kgBallerini
3
71 kgZilioli
4
61 kgSwift
5
69 kgHenao
6
61 kgMeintjes
7
58 kgBelletti
8
72 kgKrizek
9
74 kgBerlato
10
60 kgSiutsou
11
68 kgCunego
12
58 kgNiyonshuti
13
63 kgBongiorno
15
56 kgSpokes
16
63 kgKvasina
17
72 kgRebellin
18
63 kgMoscon
19
71 kgAgnoli
20
72 kg
1
65 kgBallerini
3
71 kgZilioli
4
61 kgSwift
5
69 kgHenao
6
61 kgMeintjes
7
58 kgBelletti
8
72 kgKrizek
9
74 kgBerlato
10
60 kgSiutsou
11
68 kgCunego
12
58 kgNiyonshuti
13
63 kgBongiorno
15
56 kgSpokes
16
63 kgKvasina
17
72 kgRebellin
18
63 kgMoscon
19
71 kgAgnoli
20
72 kg
Weight (KG) →
Result →
74
56
1
20
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ROGLIČ Primož | 65 |
| 3 | BALLERINI Davide | 71 |
| 4 | ZILIOLI Gianfranco | 61 |
| 5 | SWIFT Ben | 69 |
| 6 | HENAO Sergio | 61 |
| 7 | MEINTJES Louis | 58 |
| 8 | BELLETTI Manuel | 72 |
| 9 | KRIZEK Matthias | 74 |
| 10 | BERLATO Giacomo | 60 |
| 11 | SIUTSOU Kanstantsin | 68 |
| 12 | CUNEGO Damiano | 58 |
| 13 | NIYONSHUTI Adrien | 63 |
| 15 | BONGIORNO Francesco Manuel | 56 |
| 16 | SPOKES Samuel | 63 |
| 17 | KVASINA Matija | 72 |
| 18 | REBELLIN Davide | 63 |
| 19 | MOSCON Gianni | 71 |
| 20 | AGNOLI Valerio | 72 |