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 = 0.5 * weight + 4
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
Cooke
1
58 kgSoeder
2
52 kgKupfernagel
4
68 kgZabirova
5
65 kgVillumsen
7
59 kgBecker
9
64 kgPučinskaitė
11
54 kgBastianelli
22
60 kgSchachl
29
57 kgKraft
30
63 kgDoppmann
33
55 kgHohl
36
55 kgCorneo
41
54 kgSpratt
42
55 kgLe Floc'h
46
59 kgWood
50
56 kgMeng
53
65 kgWild
55
75 kgKasper
57
59 kgSels
60
65 kgSchleicher
61
58 kg
1
58 kgSoeder
2
52 kgKupfernagel
4
68 kgZabirova
5
65 kgVillumsen
7
59 kgBecker
9
64 kgPučinskaitė
11
54 kgBastianelli
22
60 kgSchachl
29
57 kgKraft
30
63 kgDoppmann
33
55 kgHohl
36
55 kgCorneo
41
54 kgSpratt
42
55 kgLe Floc'h
46
59 kgWood
50
56 kgMeng
53
65 kgWild
55
75 kgKasper
57
59 kgSels
60
65 kgSchleicher
61
58 kg
Weight (KG) →
Result →
75
52
1
61
# | Rider | Weight (KG) |
---|---|---|
1 | COOKE Nicole | 58 |
2 | SOEDER Christiane | 52 |
4 | KUPFERNAGEL Hanka | 68 |
5 | ZABIROVA Zulfiya | 65 |
7 | VILLUMSEN Linda | 59 |
9 | BECKER Charlotte | 64 |
11 | PUČINSKAITĖ Edita | 54 |
22 | BASTIANELLI Marta | 60 |
29 | SCHACHL Monika | 57 |
30 | KRAFT Ivonne | 63 |
33 | DOPPMANN Priska | 55 |
36 | HOHL Jennifer | 55 |
41 | CORNEO Sigrid | 54 |
42 | SPRATT Amanda | 55 |
46 | LE FLOC'H Magali | 59 |
50 | WOOD Oenone | 56 |
53 | MENG Lang | 65 |
55 | WILD Kirsten | 75 |
57 | KASPER Romy | 59 |
60 | SELS Loes | 65 |
61 | SCHLEICHER Regina | 58 |