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 * weight + 14
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
Petilli
1
65 kgNovak
2
70 kgKragh Andersen
3
73 kgMoscon
4
71 kgGroßschartner
5
64 kgArslanov
6
63 kgCiccone
7
58 kgOchoa
8
61 kgMühlberger
9
64 kgThalmann
10
61 kgSpreafico
11
69 kgCarboni
12
61 kgBallerini
13
71 kgConti
15
61 kgMartinelli
16
71 kgSisr
17
72 kgRumac
20
71 kgRota
21
62 kgKomin
23
63 kgDi Sante
26
62 kgLizde
27
70 kg
1
65 kgNovak
2
70 kgKragh Andersen
3
73 kgMoscon
4
71 kgGroßschartner
5
64 kgArslanov
6
63 kgCiccone
7
58 kgOchoa
8
61 kgMühlberger
9
64 kgThalmann
10
61 kgSpreafico
11
69 kgCarboni
12
61 kgBallerini
13
71 kgConti
15
61 kgMartinelli
16
71 kgSisr
17
72 kgRumac
20
71 kgRota
21
62 kgKomin
23
63 kgDi Sante
26
62 kgLizde
27
70 kg
Weight (KG) →
Result →
73
58
1
27
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PETILLI Simone | 65 |
| 2 | NOVAK Domen | 70 |
| 3 | KRAGH ANDERSEN Søren | 73 |
| 4 | MOSCON Gianni | 71 |
| 5 | GROßSCHARTNER Felix | 64 |
| 6 | ARSLANOV Ildar | 63 |
| 7 | CICCONE Giulio | 58 |
| 8 | OCHOA Diego Antonio | 61 |
| 9 | MÜHLBERGER Gregor | 64 |
| 10 | THALMANN Roland | 61 |
| 11 | SPREAFICO Matteo | 69 |
| 12 | CARBONI Giovanni | 61 |
| 13 | BALLERINI Davide | 71 |
| 15 | CONTI Valerio | 61 |
| 16 | MARTINELLI Davide | 71 |
| 17 | SISR František | 72 |
| 20 | RUMAC Josip | 71 |
| 21 | ROTA Lorenzo | 62 |
| 23 | KOMIN Aleksandr | 63 |
| 26 | DI SANTE Antonio | 62 |
| 27 | LIZDE Seid | 70 |