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 = -0.7 * weight + 63
This means that on average for every extra kilogram weight a rider loses -0.7 positions in the result.
Pöstlberger
1
70 kgGate
3
71 kgIrvine
4
80 kgde Man
5
68 kgViganò
6
67 kgEdmondson
9
62 kgMullen
10
77 kgKruopis
12
80 kgMalucelli
13
68 kgRowsell
14
66 kgPorter
15
73 kgTizza
21
58 kgBenetseder
22
65 kgGesbert
26
63 kgJourniaux
27
63 kgSchönberger
28
64 kgHrinkow
29
61 kgSleurs
30
68 kgJanssens
31
74 kg
1
70 kgGate
3
71 kgIrvine
4
80 kgde Man
5
68 kgViganò
6
67 kgEdmondson
9
62 kgMullen
10
77 kgKruopis
12
80 kgMalucelli
13
68 kgRowsell
14
66 kgPorter
15
73 kgTizza
21
58 kgBenetseder
22
65 kgGesbert
26
63 kgJourniaux
27
63 kgSchönberger
28
64 kgHrinkow
29
61 kgSleurs
30
68 kgJanssens
31
74 kg
Weight (KG) →
Result →
80
58
1
31
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PÖSTLBERGER Lukas | 70 |
| 3 | GATE Aaron | 71 |
| 4 | IRVINE Martyn | 80 |
| 5 | DE MAN Jaap | 68 |
| 6 | VIGANÒ Davide | 67 |
| 9 | EDMONDSON Joshua | 62 |
| 10 | MULLEN Ryan | 77 |
| 12 | KRUOPIS Aidis | 80 |
| 13 | MALUCELLI Matteo | 68 |
| 14 | ROWSELL Erick | 66 |
| 15 | PORTER Elliott | 73 |
| 21 | TIZZA Marco | 58 |
| 22 | BENETSEDER Josef | 65 |
| 26 | GESBERT Élie | 63 |
| 27 | JOURNIAUX Axel | 63 |
| 28 | SCHÖNBERGER Sebastian | 64 |
| 29 | HRINKOW Dominik | 61 |
| 30 | SLEURS Christophe | 68 |
| 31 | JANSSENS Jimmy | 74 |