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 - 15
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Mugisha
1
58 kgGuillonnet
2
69 kgTorres
3
63.5 kgKudus
4
58 kgBadilatti
6
62 kgGebremedhin
7
58.5 kgContreras
8
68 kgMugisha
11
62 kgKasperkiewicz
12
71 kgAguirre
13
55 kgÁvila
14
61 kgAreruya
15
74 kgTaaramäe
19
73 kgQuéméneur
20
67 kgNatarov
21
68 kgLagab
22
63 kgHudry
23
57 kgGirmay
24
70 kgAraujo
25
68 kg
1
58 kgGuillonnet
2
69 kgTorres
3
63.5 kgKudus
4
58 kgBadilatti
6
62 kgGebremedhin
7
58.5 kgContreras
8
68 kgMugisha
11
62 kgKasperkiewicz
12
71 kgAguirre
13
55 kgÁvila
14
61 kgAreruya
15
74 kgTaaramäe
19
73 kgQuéméneur
20
67 kgNatarov
21
68 kgLagab
22
63 kgHudry
23
57 kgGirmay
24
70 kgAraujo
25
68 kg
Weight (KG) →
Result →
74
55
1
25
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MUGISHA Moise | 58 |
| 2 | GUILLONNET Adrien | 69 |
| 3 | TORRES Pablo | 63.5 |
| 4 | KUDUS Merhawi | 58 |
| 6 | BADILATTI Matteo | 62 |
| 7 | GEBREMEDHIN Awet | 58.5 |
| 8 | CONTRERAS Rodrigo | 68 |
| 11 | MUGISHA Samuel | 62 |
| 12 | KASPERKIEWICZ Przemysław | 71 |
| 13 | AGUIRRE Hernán Ricardo | 55 |
| 14 | ÁVILA Edwin | 61 |
| 15 | ARERUYA Joseph | 74 |
| 19 | TAARAMÄE Rein | 73 |
| 20 | QUÉMÉNEUR Perrig | 67 |
| 21 | NATAROV Yuriy | 68 |
| 22 | LAGAB Azzedine | 63 |
| 23 | HUDRY Florian | 57 |
| 24 | GIRMAY Biniam | 70 |
| 25 | ARAUJO Bruno | 68 |