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 + 46
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
Pichetta
1
56 kgClaeys
3
77 kgOrrico
6
70 kgAntonini
7
75 kgQuaade
8
77 kgShilov
9
67 kgStüssi
10
68 kgPacher
11
62 kgBallerini
16
71 kgBusato
17
67 kgCecchin
21
70 kgArguelyes
23
66 kgRaileanu
25
63 kgPage
26
64 kgPacchiardo
27
60 kgAndreetta
28
69 kgConsonni
29
60 kgWachter
30
72 kg
1
56 kgClaeys
3
77 kgOrrico
6
70 kgAntonini
7
75 kgQuaade
8
77 kgShilov
9
67 kgStüssi
10
68 kgPacher
11
62 kgBallerini
16
71 kgBusato
17
67 kgCecchin
21
70 kgArguelyes
23
66 kgRaileanu
25
63 kgPage
26
64 kgPacchiardo
27
60 kgAndreetta
28
69 kgConsonni
29
60 kgWachter
30
72 kg
Weight (KG) →
Result →
77
56
1
30
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PICHETTA Ricardo | 56 |
| 3 | CLAEYS Dimitri | 77 |
| 6 | ORRICO Davide | 70 |
| 7 | ANTONINI Simone | 75 |
| 8 | QUAADE Rasmus | 77 |
| 9 | SHILOV Sergey | 67 |
| 10 | STÜSSI Colin | 68 |
| 11 | PACHER Quentin | 62 |
| 16 | BALLERINI Davide | 71 |
| 17 | BUSATO Matteo | 67 |
| 21 | CECCHIN Alberto | 70 |
| 23 | ARGUELYES Arkimedes | 66 |
| 25 | RAILEANU Cristian | 63 |
| 26 | PAGE Dylan | 64 |
| 27 | PACCHIARDO Davide | 60 |
| 28 | ANDREETTA Simone | 69 |
| 29 | CONSONNI Simone | 60 |
| 30 | WACHTER Alexander | 72 |