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 + 56
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
Marsal
3
53 kgKupfernagel
4
68 kgLjungskog
5
57 kgBonanomi
10
60 kgHobson
15
55 kgValen
19
61 kgZabirova
23
65 kgMelchers
28
59 kgSalvetat
32
55 kgCristofoli
34
52 kgHöljer
35
56 kgLe Floc'h
38
59 kgVonckx
42
56 kgRossner
62
64 kgPaulitz-Müller
68
57 kgVilajosana
70
57 kg
3
53 kgKupfernagel
4
68 kgLjungskog
5
57 kgBonanomi
10
60 kgHobson
15
55 kgValen
19
61 kgZabirova
23
65 kgMelchers
28
59 kgSalvetat
32
55 kgCristofoli
34
52 kgHöljer
35
56 kgLe Floc'h
38
59 kgVonckx
42
56 kgRossner
62
64 kgPaulitz-Müller
68
57 kgVilajosana
70
57 kg
Weight (KG) →
Result →
68
52
3
70
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | MARSAL Catherine | 53 |
| 4 | KUPFERNAGEL Hanka | 68 |
| 5 | LJUNGSKOG Susanne | 57 |
| 10 | BONANOMI Roberta | 60 |
| 15 | HOBSON Leigh | 55 |
| 19 | VALEN Monica | 61 |
| 23 | ZABIROVA Zulfiya | 65 |
| 28 | MELCHERS Mirjam | 59 |
| 32 | SALVETAT Maryline | 55 |
| 34 | CRISTOFOLI Nada | 52 |
| 35 | HÖLJER Marie | 56 |
| 38 | LE FLOC'H Magali | 59 |
| 42 | VONCKX Vanja | 56 |
| 62 | ROSSNER Petra | 64 |
| 68 | PAULITZ-MÜLLER Viola | 57 |
| 70 | VILAJOSANA Marta | 57 |