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 = -0.2 * weight + 45
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Minali
1
74 kgEwan
2
69 kgFrapporti
3
74 kgWang
7
73 kgViel
9
72 kgLuchshenko
15
63 kgRota
20
62 kgBallerini
22
71 kgConsonni
24
60 kgDebenedetti
25
56 kgTroia
27
80 kgFedosseyev
29
61.5 kgSpengler
37
78 kgFrankiny
41
67 kgSchultz
55
68 kgBagioli
64
64 kgRučigaj
65
68 kgKukrle
76
73 kgDeruette
85
70 kg
1
74 kgEwan
2
69 kgFrapporti
3
74 kgWang
7
73 kgViel
9
72 kgLuchshenko
15
63 kgRota
20
62 kgBallerini
22
71 kgConsonni
24
60 kgDebenedetti
25
56 kgTroia
27
80 kgFedosseyev
29
61.5 kgSpengler
37
78 kgFrankiny
41
67 kgSchultz
55
68 kgBagioli
64
64 kgRučigaj
65
68 kgKukrle
76
73 kgDeruette
85
70 kg
Weight (KG) →
Result →
80
56
1
85
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MINALI Riccardo | 74 |
| 2 | EWAN Caleb | 69 |
| 3 | FRAPPORTI Mattia | 74 |
| 7 | WANG Emil | 73 |
| 9 | VIEL Mattia | 72 |
| 15 | LUCHSHENKO Sergey | 63 |
| 20 | ROTA Lorenzo | 62 |
| 22 | BALLERINI Davide | 71 |
| 24 | CONSONNI Simone | 60 |
| 25 | DEBENEDETTI Davide | 56 |
| 27 | TROIA Oliviero | 80 |
| 29 | FEDOSSEYEV Artur | 61.5 |
| 37 | SPENGLER Lukas | 78 |
| 41 | FRANKINY Kilian | 67 |
| 55 | SCHULTZ Nick | 68 |
| 64 | BAGIOLI Nicola | 64 |
| 65 | RUČIGAJ Žiga | 68 |
| 76 | KUKRLE Michael | 73 |
| 85 | DERUETTE Thomas | 70 |