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 = 1.1 * weight - 43
This means that on average for every extra kilogram weight a rider loses 1.1 positions in the result.
Becker
1
64 kgChursina
2
52 kgErić
3
53 kgSanguineti
4
61 kgFrapporti
5
63 kgMoberg
6
56 kgSkalniak-Sójka
10
54 kgSharakova
17
52 kgSomrat
18
56 kgPenton
20
55 kgKasenova
23
52 kgSaarelainen
25
58 kgJackson
26
63 kgTserakh
32
70 kgValsecchi
35
58 kgNontasin
43
58 kgSiggaard
46
67 kgKessler
47
60 kgSomnet
54
54 kgHatteland Lima
66
65 kg
1
64 kgChursina
2
52 kgErić
3
53 kgSanguineti
4
61 kgFrapporti
5
63 kgMoberg
6
56 kgSkalniak-Sójka
10
54 kgSharakova
17
52 kgSomrat
18
56 kgPenton
20
55 kgKasenova
23
52 kgSaarelainen
25
58 kgJackson
26
63 kgTserakh
32
70 kgValsecchi
35
58 kgNontasin
43
58 kgSiggaard
46
67 kgKessler
47
60 kgSomnet
54
54 kgHatteland Lima
66
65 kg
Weight (KG) →
Result →
70
52
1
66
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BECKER Charlotte | 64 |
| 2 | CHURSINA Anastasiia | 52 |
| 3 | ERIĆ Jelena | 53 |
| 4 | SANGUINETI Ilaria | 61 |
| 5 | FRAPPORTI Simona | 63 |
| 6 | MOBERG Emilie | 56 |
| 10 | SKALNIAK-SÓJKA Agnieszka | 54 |
| 17 | SHARAKOVA Tatsiana | 52 |
| 18 | SOMRAT Phetdarin | 56 |
| 20 | PENTON Sara | 55 |
| 23 | KASENOVA Karina | 52 |
| 25 | SAARELAINEN Sari | 58 |
| 26 | JACKSON Alison | 63 |
| 32 | TSERAKH Hanna | 70 |
| 35 | VALSECCHI Silvia | 58 |
| 43 | NONTASIN Chanpeng | 58 |
| 46 | SIGGAARD Christina | 67 |
| 47 | KESSLER Nina | 60 |
| 54 | SOMNET Jupha | 54 |
| 66 | HATTELAND LIMA Tone | 65 |