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 - 17
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Modolo
1
67 kgGrosu
2
68 kgMarini
3
72 kgMinali
4
74 kgPage
5
64 kgNizzolo
6
72 kgCanola
7
66 kgSavitskiy
8
72 kgVerschoor
9
74.5 kgRajović
10
74 kgSteimle
11
73 kgLowndes
12
82 kgTrusov
13
77 kgSimion
14
79 kgRuffoni
15
70 kgÖrken
16
69 kgO'Loughlin
17
72 kgMas
18
69 kg
1
67 kgGrosu
2
68 kgMarini
3
72 kgMinali
4
74 kgPage
5
64 kgNizzolo
6
72 kgCanola
7
66 kgSavitskiy
8
72 kgVerschoor
9
74.5 kgRajović
10
74 kgSteimle
11
73 kgLowndes
12
82 kgTrusov
13
77 kgSimion
14
79 kgRuffoni
15
70 kgÖrken
16
69 kgO'Loughlin
17
72 kgMas
18
69 kg
Weight (KG) →
Result →
82
64
1
18
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MODOLO Sacha | 67 |
| 2 | GROSU Eduard-Michael | 68 |
| 3 | MARINI Nicolas | 72 |
| 4 | MINALI Riccardo | 74 |
| 5 | PAGE Dylan | 64 |
| 6 | NIZZOLO Giacomo | 72 |
| 7 | CANOLA Marco | 66 |
| 8 | SAVITSKIY Ivan | 72 |
| 9 | VERSCHOOR Martijn | 74.5 |
| 10 | RAJOVIĆ Dušan | 74 |
| 11 | STEIMLE Jannik | 73 |
| 12 | LOWNDES Jason | 82 |
| 13 | TRUSOV Nikolay | 77 |
| 14 | SIMION Paolo | 79 |
| 15 | RUFFONI Nicola | 70 |
| 16 | ÖRKEN Ahmet | 69 |
| 17 | O'LOUGHLIN Michael | 72 |
| 18 | MAS Lluís | 69 |