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 = 0.3 * weight - 9
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
Vlasov
1
68 kgUlissi
2
63 kgHill
3
67 kgPogačar
4
66 kgChaves
5
55 kgMontaguti
6
65 kgVisconti
7
63 kgFortunato
8
57 kgJarc
9
75 kgKorošec
10
75 kgKasperkiewicz
11
71 kgGrošelj
12
70 kgKierner
13
79 kgPlanet
14
71 kgPer
15
81 kgZardini
16
62 kgSchmidt
17
63 kgHorvat
18
70 kg
1
68 kgUlissi
2
63 kgHill
3
67 kgPogačar
4
66 kgChaves
5
55 kgMontaguti
6
65 kgVisconti
7
63 kgFortunato
8
57 kgJarc
9
75 kgKorošec
10
75 kgKasperkiewicz
11
71 kgGrošelj
12
70 kgKierner
13
79 kgPlanet
14
71 kgPer
15
81 kgZardini
16
62 kgSchmidt
17
63 kgHorvat
18
70 kg
Weight (KG) →
Result →
81
55
1
18
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VLASOV Aleksandr | 68 |
| 2 | ULISSI Diego | 63 |
| 3 | HILL Benjamin | 67 |
| 4 | POGAČAR Tadej | 66 |
| 5 | CHAVES Esteban | 55 |
| 6 | MONTAGUTI Matteo | 65 |
| 7 | VISCONTI Giovanni | 63 |
| 8 | FORTUNATO Lorenzo | 57 |
| 9 | JARC Aljaž | 75 |
| 10 | KOROŠEC Rok | 75 |
| 11 | KASPERKIEWICZ Przemysław | 71 |
| 12 | GROŠELJ Matic | 70 |
| 13 | KIERNER Florian | 79 |
| 14 | PLANET Charles | 71 |
| 15 | PER David | 81 |
| 16 | ZARDINI Edoardo | 62 |
| 17 | SCHMIDT Fabien | 63 |
| 18 | HORVAT Žiga | 70 |