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 + 13
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
Carr
1
66 kgPoels
2
66 kgLópez
3
60 kgCarthy
4
69 kgPellizzari
5
66 kgBais
6
66 kgThomas
7
71 kgHiguita
8
57 kgParet-Peintre
9
64 kgCovili
10
58 kgPellaud
11
70 kgGanna
12
83 kgDe Marchi
13
65 kgO'Connor
14
67 kgPiganzoli
15
61 kgGamper
16
80 kgTiberi
17
62 kgParet-Peintre
18
52 kgSosa
19
52 kgTræen
20
63 kgRodríguez
21
63 kgFoss
22
74 kgPöstlberger
24
70 kg
1
66 kgPoels
2
66 kgLópez
3
60 kgCarthy
4
69 kgPellizzari
5
66 kgBais
6
66 kgThomas
7
71 kgHiguita
8
57 kgParet-Peintre
9
64 kgCovili
10
58 kgPellaud
11
70 kgGanna
12
83 kgDe Marchi
13
65 kgO'Connor
14
67 kgPiganzoli
15
61 kgGamper
16
80 kgTiberi
17
62 kgParet-Peintre
18
52 kgSosa
19
52 kgTræen
20
63 kgRodríguez
21
63 kgFoss
22
74 kgPöstlberger
24
70 kg
Weight (KG) →
Result →
83
52
1
24
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CARR Simon | 66 |
| 2 | POELS Wout | 66 |
| 3 | LÓPEZ Juan Pedro | 60 |
| 4 | CARTHY Hugh | 69 |
| 5 | PELLIZZARI Giulio | 66 |
| 6 | BAIS Mattia | 66 |
| 7 | THOMAS Geraint | 71 |
| 8 | HIGUITA Sergio | 57 |
| 9 | PARET-PEINTRE Aurélien | 64 |
| 10 | COVILI Luca | 58 |
| 11 | PELLAUD Simon | 70 |
| 12 | GANNA Filippo | 83 |
| 13 | DE MARCHI Alessandro | 65 |
| 14 | O'CONNOR Ben | 67 |
| 15 | PIGANZOLI Davide | 61 |
| 16 | GAMPER Patrick | 80 |
| 17 | TIBERI Antonio | 62 |
| 18 | PARET-PEINTRE Valentin | 52 |
| 19 | SOSA Iván Ramiro | 52 |
| 20 | TRÆEN Torstein | 63 |
| 21 | RODRÍGUEZ Óscar | 63 |
| 22 | FOSS Tobias | 74 |
| 24 | PÖSTLBERGER Lukas | 70 |