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 = -0.3 * weight + 37
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Pöstlberger
1
70 kgGate
2
71 kgde Man
3
68 kgViganò
5
67 kgIrvine
6
80 kgMalucelli
7
68 kgKruopis
8
80 kgEdmondson
9
62 kgTizza
10
58 kgMullen
12
77 kgHrinkow
16
61 kgGesbert
17
63 kgBenetseder
21
65 kgSchönberger
25
64 kgJourniaux
26
63 kgSleurs
27
68 kgJanssens
28
74 kg
1
70 kgGate
2
71 kgde Man
3
68 kgViganò
5
67 kgIrvine
6
80 kgMalucelli
7
68 kgKruopis
8
80 kgEdmondson
9
62 kgTizza
10
58 kgMullen
12
77 kgHrinkow
16
61 kgGesbert
17
63 kgBenetseder
21
65 kgSchönberger
25
64 kgJourniaux
26
63 kgSleurs
27
68 kgJanssens
28
74 kg
Weight (KG) →
Result →
80
58
1
28
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PÖSTLBERGER Lukas | 70 |
| 2 | GATE Aaron | 71 |
| 3 | DE MAN Jaap | 68 |
| 5 | VIGANÒ Davide | 67 |
| 6 | IRVINE Martyn | 80 |
| 7 | MALUCELLI Matteo | 68 |
| 8 | KRUOPIS Aidis | 80 |
| 9 | EDMONDSON Joshua | 62 |
| 10 | TIZZA Marco | 58 |
| 12 | MULLEN Ryan | 77 |
| 16 | HRINKOW Dominik | 61 |
| 17 | GESBERT Élie | 63 |
| 21 | BENETSEDER Josef | 65 |
| 25 | SCHÖNBERGER Sebastian | 64 |
| 26 | JOURNIAUX Axel | 63 |
| 27 | SLEURS Christophe | 68 |
| 28 | JANSSENS Jimmy | 74 |