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:
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Narváez
1
65 kgEenkhoorn
2
72 kgUlissi
3
63 kgBagioli
4
60 kgHayter
5
70 kgKooij
6
72 kgVermeersch
7
68 kgConci
8
68 kgMosca
9
65 kgPasqualon
10
75 kgGirmay
11
70 kgKuznetsov
12
70 kgFinetto
13
62 kgAlmeida
14
63 kgDi Felice
15
70 kgVisconti
16
63 kgBakelants
17
67 kgDrucker
18
75 kg
1
65 kgEenkhoorn
2
72 kgUlissi
3
63 kgBagioli
4
60 kgHayter
5
70 kgKooij
6
72 kgVermeersch
7
68 kgConci
8
68 kgMosca
9
65 kgPasqualon
10
75 kgGirmay
11
70 kgKuznetsov
12
70 kgFinetto
13
62 kgAlmeida
14
63 kgDi Felice
15
70 kgVisconti
16
63 kgBakelants
17
67 kgDrucker
18
75 kg
Weight (KG) →
Result →
75
60
1
18
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | NARVÁEZ Jhonatan | 65 |
| 2 | EENKHOORN Pascal | 72 |
| 3 | ULISSI Diego | 63 |
| 4 | BAGIOLI Andrea | 60 |
| 5 | HAYTER Ethan | 70 |
| 6 | KOOIJ Olav | 72 |
| 7 | VERMEERSCH Gianni | 68 |
| 8 | CONCI Nicola | 68 |
| 9 | MOSCA Jacopo | 65 |
| 10 | PASQUALON Andrea | 75 |
| 11 | GIRMAY Biniam | 70 |
| 12 | KUZNETSOV Viacheslav | 70 |
| 13 | FINETTO Mauro | 62 |
| 14 | ALMEIDA João | 63 |
| 15 | DI FELICE Francesco | 70 |
| 16 | VISCONTI Giovanni | 63 |
| 17 | BAKELANTS Jan | 67 |
| 18 | DRUCKER Jempy | 75 |