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 = 1.9 * weight - 82
This means that on average for every extra kilogram weight a rider loses 1.9 positions in the result.
Bertizzolo
1
54 kgLabous
2
54 kgGrossetête
4
60 kgAlzini
9
64 kgSkalniak-Sójka
10
54 kgPollicini
15
57 kgKoller
18
63 kgBalsamo
21
55 kgSeitz
23
58 kgPersico
24
53 kgBarbieri
26
55 kgLippert
27
56 kgCavalli
45
53 kgVerhulst-Wild
58
58 kgAndres
65
62 kgSüßemilch
66
67 kg
1
54 kgLabous
2
54 kgGrossetête
4
60 kgAlzini
9
64 kgSkalniak-Sójka
10
54 kgPollicini
15
57 kgKoller
18
63 kgBalsamo
21
55 kgSeitz
23
58 kgPersico
24
53 kgBarbieri
26
55 kgLippert
27
56 kgCavalli
45
53 kgVerhulst-Wild
58
58 kgAndres
65
62 kgSüßemilch
66
67 kg
Weight (KG) →
Result →
67
53
1
66
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BERTIZZOLO Sofia | 54 |
| 2 | LABOUS Juliette | 54 |
| 4 | GROSSETÊTE Maëlle | 60 |
| 9 | ALZINI Martina | 64 |
| 10 | SKALNIAK-SÓJKA Agnieszka | 54 |
| 15 | POLLICINI Silvia | 57 |
| 18 | KOLLER Nicole | 63 |
| 21 | BALSAMO Elisa | 55 |
| 23 | SEITZ Aline | 58 |
| 24 | PERSICO Silvia | 53 |
| 26 | BARBIERI Rachele | 55 |
| 27 | LIPPERT Liane | 56 |
| 45 | CAVALLI Marta | 53 |
| 58 | VERHULST-WILD Gladys | 58 |
| 65 | ANDRES Michelle | 62 |
| 66 | SÜßEMILCH Laura | 67 |