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 = 1.2 * weight - 48
This means that on average for every extra kilogram weight a rider loses 1.2 positions in the result.
Becker
1
64 kgChursina
2
52 kgMoberg
3
56 kgSanguineti
4
61 kgErić
5
53 kgFrapporti
6
63 kgKasenova
9
52 kgSkalniak-Sójka
11
54 kgSharakova
14
52 kgSomrat
16
56 kgJackson
21
63 kgPenton
24
55 kgSaarelainen
30
58 kgTserakh
32
70 kgValsecchi
34
58 kgNontasin
43
58 kgSiggaard
46
67 kgKessler
48
60 kgSomnet
56
54 kgHatteland Lima
61
65 kg
1
64 kgChursina
2
52 kgMoberg
3
56 kgSanguineti
4
61 kgErić
5
53 kgFrapporti
6
63 kgKasenova
9
52 kgSkalniak-Sójka
11
54 kgSharakova
14
52 kgSomrat
16
56 kgJackson
21
63 kgPenton
24
55 kgSaarelainen
30
58 kgTserakh
32
70 kgValsecchi
34
58 kgNontasin
43
58 kgSiggaard
46
67 kgKessler
48
60 kgSomnet
56
54 kgHatteland Lima
61
65 kg
Weight (KG) →
Result →
70
52
1
61
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BECKER Charlotte | 64 |
| 2 | CHURSINA Anastasiia | 52 |
| 3 | MOBERG Emilie | 56 |
| 4 | SANGUINETI Ilaria | 61 |
| 5 | ERIĆ Jelena | 53 |
| 6 | FRAPPORTI Simona | 63 |
| 9 | KASENOVA Karina | 52 |
| 11 | SKALNIAK-SÓJKA Agnieszka | 54 |
| 14 | SHARAKOVA Tatsiana | 52 |
| 16 | SOMRAT Phetdarin | 56 |
| 21 | JACKSON Alison | 63 |
| 24 | PENTON Sara | 55 |
| 30 | SAARELAINEN Sari | 58 |
| 32 | TSERAKH Hanna | 70 |
| 34 | VALSECCHI Silvia | 58 |
| 43 | NONTASIN Chanpeng | 58 |
| 46 | SIGGAARD Christina | 67 |
| 48 | KESSLER Nina | 60 |
| 56 | SOMNET Jupha | 54 |
| 61 | HATTELAND LIMA Tone | 65 |