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 = 0.4 * weight - 10
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Schlegel
1
72 kgNych
2
74 kgCarboni
3
61 kgSchönberger
4
64 kgGarcía Cortina
7
77 kgFedeli
8
65 kgNarváez
9
65 kgKrul
11
68 kgZeller
12
72 kgCavagna
14
78 kgKasperkiewicz
15
71 kgPer
16
68 kgFrapporti
19
74 kgKatrašnik
20
69 kgGamper
21
80 kgKukrle
26
73 kgViel
27
72 kgZimmermann
28
70 kgvan Bakel
29
62 kgDuquennoy
31
75 kg
1
72 kgNych
2
74 kgCarboni
3
61 kgSchönberger
4
64 kgGarcía Cortina
7
77 kgFedeli
8
65 kgNarváez
9
65 kgKrul
11
68 kgZeller
12
72 kgCavagna
14
78 kgKasperkiewicz
15
71 kgPer
16
68 kgFrapporti
19
74 kgKatrašnik
20
69 kgGamper
21
80 kgKukrle
26
73 kgViel
27
72 kgZimmermann
28
70 kgvan Bakel
29
62 kgDuquennoy
31
75 kg
Weight (KG) →
Result →
80
61
1
31
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SCHLEGEL Michal | 72 |
| 2 | NYCH Artem | 74 |
| 3 | CARBONI Giovanni | 61 |
| 4 | SCHÖNBERGER Sebastian | 64 |
| 7 | GARCÍA CORTINA Iván | 77 |
| 8 | FEDELI Alessandro | 65 |
| 9 | NARVÁEZ Jhonatan | 65 |
| 11 | KRUL Stef | 68 |
| 12 | ZELLER Lukas | 72 |
| 14 | CAVAGNA Rémi | 78 |
| 15 | KASPERKIEWICZ Przemysław | 71 |
| 16 | PER Gorazd | 68 |
| 19 | FRAPPORTI Mattia | 74 |
| 20 | KATRAŠNIK Gašper | 69 |
| 21 | GAMPER Patrick | 80 |
| 26 | KUKRLE Michael | 73 |
| 27 | VIEL Mattia | 72 |
| 28 | ZIMMERMANN Georg | 70 |
| 29 | VAN BAKEL Robbie | 62 |
| 31 | DUQUENNOY Jimmy | 75 |