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 + 16
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Cavanagh
2
72 kgTorres
3
56 kgSirironnachai
4
61 kgLebas
5
65 kgFelipe
6
58 kgGarcia
7
55 kgHudry
8
57 kgGuardiola
12
65 kgPeng
14
65 kgTorres
15
63.5 kgPhounsavath
17
67 kgChawchiangkwang
18
64 kgAbdurrahman
19
56 kgStrong
20
63 kgChaiyasombat
22
58 kgLiphongyu
25
61 kg
2
72 kgTorres
3
56 kgSirironnachai
4
61 kgLebas
5
65 kgFelipe
6
58 kgGarcia
7
55 kgHudry
8
57 kgGuardiola
12
65 kgPeng
14
65 kgTorres
15
63.5 kgPhounsavath
17
67 kgChawchiangkwang
18
64 kgAbdurrahman
19
56 kgStrong
20
63 kgChaiyasombat
22
58 kgLiphongyu
25
61 kg
Weight (KG) →
Result →
72
55
2
25
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | CAVANAGH Ryan | 72 |
| 3 | TORRES Rodolfo Andrés | 56 |
| 4 | SIRIRONNACHAI Sarawut | 61 |
| 5 | LEBAS Thomas | 65 |
| 6 | FELIPE Marcelo | 58 |
| 7 | GARCIA Marcos | 55 |
| 8 | HUDRY Florian | 57 |
| 12 | GUARDIOLA Salvador | 65 |
| 14 | PENG Yuan Tang | 65 |
| 15 | TORRES Pablo | 63.5 |
| 17 | PHOUNSAVATH Ariya | 67 |
| 18 | CHAWCHIANGKWANG Peerapol | 64 |
| 19 | ABDURRAHMAN Muhammad | 56 |
| 20 | STRONG Corbin | 63 |
| 22 | CHAIYASOMBAT Thanakhan | 58 |
| 25 | LIPHONGYU Navuti | 61 |