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 + 6
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Cooke
1
58 kgPučinskaitė
5
54 kgCorneo
9
54 kgBastianelli
11
60 kgMeng
13
65 kgSoeder
15
52 kgKupfernagel
17
68 kgZabirova
20
65 kgHohl
28
55 kgKraft
29
63 kgWood
33
56 kgLe Floc'h
38
59 kgDoppmann
42
55 kgSchachl
43
57 kgSchleicher
48
58 kgKasper
50
59 kgWild
52
75 kgSpratt
57
55 kg
1
58 kgPučinskaitė
5
54 kgCorneo
9
54 kgBastianelli
11
60 kgMeng
13
65 kgSoeder
15
52 kgKupfernagel
17
68 kgZabirova
20
65 kgHohl
28
55 kgKraft
29
63 kgWood
33
56 kgLe Floc'h
38
59 kgDoppmann
42
55 kgSchachl
43
57 kgSchleicher
48
58 kgKasper
50
59 kgWild
52
75 kgSpratt
57
55 kg
Weight (KG) →
Result →
75
52
1
57
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | COOKE Nicole | 58 |
| 5 | PUČINSKAITĖ Edita | 54 |
| 9 | CORNEO Sigrid | 54 |
| 11 | BASTIANELLI Marta | 60 |
| 13 | MENG Lang | 65 |
| 15 | SOEDER Christiane | 52 |
| 17 | KUPFERNAGEL Hanka | 68 |
| 20 | ZABIROVA Zulfiya | 65 |
| 28 | HOHL Jennifer | 55 |
| 29 | KRAFT Ivonne | 63 |
| 33 | WOOD Oenone | 56 |
| 38 | LE FLOC'H Magali | 59 |
| 42 | DOPPMANN Priska | 55 |
| 43 | SCHACHL Monika | 57 |
| 48 | SCHLEICHER Regina | 58 |
| 50 | KASPER Romy | 59 |
| 52 | WILD Kirsten | 75 |
| 57 | SPRATT Amanda | 55 |