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 = 0.6 * weight - 5
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
Le Floc'h
4
59 kgHohl
5
55 kgKupfernagel
10
68 kgCooke
12
58 kgKasper
15
59 kgZabirova
17
65 kgSoeder
20
52 kgCorneo
21
54 kgVillumsen
22
59 kgSpratt
24
55 kgKraft
26
63 kgWood
28
56 kgBastianelli
33
60 kgPučinskaitė
35
54 kgSels
37
65 kgWild
46
75 kgDoppmann
47
55 kgMeng
49
65 kgSchleicher
58
58 kgBecker
59
64 kgSchachl
60
57 kg
4
59 kgHohl
5
55 kgKupfernagel
10
68 kgCooke
12
58 kgKasper
15
59 kgZabirova
17
65 kgSoeder
20
52 kgCorneo
21
54 kgVillumsen
22
59 kgSpratt
24
55 kgKraft
26
63 kgWood
28
56 kgBastianelli
33
60 kgPučinskaitė
35
54 kgSels
37
65 kgWild
46
75 kgDoppmann
47
55 kgMeng
49
65 kgSchleicher
58
58 kgBecker
59
64 kgSchachl
60
57 kg
Weight (KG) →
Result →
75
52
4
60
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | LE FLOC'H Magali | 59 |
| 5 | HOHL Jennifer | 55 |
| 10 | KUPFERNAGEL Hanka | 68 |
| 12 | COOKE Nicole | 58 |
| 15 | KASPER Romy | 59 |
| 17 | ZABIROVA Zulfiya | 65 |
| 20 | SOEDER Christiane | 52 |
| 21 | CORNEO Sigrid | 54 |
| 22 | VILLUMSEN Linda | 59 |
| 24 | SPRATT Amanda | 55 |
| 26 | KRAFT Ivonne | 63 |
| 28 | WOOD Oenone | 56 |
| 33 | BASTIANELLI Marta | 60 |
| 35 | PUČINSKAITĖ Edita | 54 |
| 37 | SELS Loes | 65 |
| 46 | WILD Kirsten | 75 |
| 47 | DOPPMANN Priska | 55 |
| 49 | MENG Lang | 65 |
| 58 | SCHLEICHER Regina | 58 |
| 59 | BECKER Charlotte | 64 |
| 60 | SCHACHL Monika | 57 |