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 + 15
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Tivani
1
67 kgAlmeida
2
63 kgJacobs
3
78 kgChristen
4
60 kgVan Moer
5
79 kgVangheluwe
6
79 kgDe Plus
7
67 kgRoglič
8
65 kgBayer
9
71 kgJohnston
10
55 kgGrégoire
11
64 kgSorarrain
12
76 kgVingegaard
13
58 kgTiberi
14
62 kgHonoré
15
68 kgMorgado
17
71 kgPinheiro
18
71 kgPuccio
19
68 kg
1
67 kgAlmeida
2
63 kgJacobs
3
78 kgChristen
4
60 kgVan Moer
5
79 kgVangheluwe
6
79 kgDe Plus
7
67 kgRoglič
8
65 kgBayer
9
71 kgJohnston
10
55 kgGrégoire
11
64 kgSorarrain
12
76 kgVingegaard
13
58 kgTiberi
14
62 kgHonoré
15
68 kgMorgado
17
71 kgPinheiro
18
71 kgPuccio
19
68 kg
Weight (KG) →
Result →
79
55
1
19
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | TIVANI German Nicolás | 67 |
| 2 | ALMEIDA João | 63 |
| 3 | JACOBS Johan | 78 |
| 4 | CHRISTEN Jan | 60 |
| 5 | VAN MOER Brent | 79 |
| 6 | VANGHELUWE Warre | 79 |
| 7 | DE PLUS Laurens | 67 |
| 8 | ROGLIČ Primož | 65 |
| 9 | BAYER Tobias | 71 |
| 10 | JOHNSTON Calum | 55 |
| 11 | GRÉGOIRE Romain | 64 |
| 12 | SORARRAIN Gorka | 76 |
| 13 | VINGEGAARD Jonas | 58 |
| 14 | TIBERI Antonio | 62 |
| 15 | HONORÉ Mikkel Frølich | 68 |
| 17 | MORGADO António | 71 |
| 18 | PINHEIRO Ivo | 71 |
| 19 | PUCCIO Salvatore | 68 |