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 * weight - 37
This means that on average for every extra kilogram weight a rider loses 1 positions in the result.
Becker
1
64 kgChursina
2
52 kgMoberg
3
56 kgFrapporti
4
63 kgSanguineti
5
61 kgErić
6
53 kgSharakova
8
52 kgKasenova
9
52 kgSkalniak-Sójka
13
54 kgSomrat
16
56 kgJackson
17
63 kgSaarelainen
27
58 kgPenton
28
55 kgTserakh
30
70 kgNontasin
39
58 kgValsecchi
41
58 kgSiggaard
43
67 kgSomnet
55
54 kgHatteland Lima
57
65 kg
1
64 kgChursina
2
52 kgMoberg
3
56 kgFrapporti
4
63 kgSanguineti
5
61 kgErić
6
53 kgSharakova
8
52 kgKasenova
9
52 kgSkalniak-Sójka
13
54 kgSomrat
16
56 kgJackson
17
63 kgSaarelainen
27
58 kgPenton
28
55 kgTserakh
30
70 kgNontasin
39
58 kgValsecchi
41
58 kgSiggaard
43
67 kgSomnet
55
54 kgHatteland Lima
57
65 kg
Weight (KG) →
Result →
70
52
1
57
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BECKER Charlotte | 64 |
| 2 | CHURSINA Anastasiia | 52 |
| 3 | MOBERG Emilie | 56 |
| 4 | FRAPPORTI Simona | 63 |
| 5 | SANGUINETI Ilaria | 61 |
| 6 | ERIĆ Jelena | 53 |
| 8 | SHARAKOVA Tatsiana | 52 |
| 9 | KASENOVA Karina | 52 |
| 13 | SKALNIAK-SÓJKA Agnieszka | 54 |
| 16 | SOMRAT Phetdarin | 56 |
| 17 | JACKSON Alison | 63 |
| 27 | SAARELAINEN Sari | 58 |
| 28 | PENTON Sara | 55 |
| 30 | TSERAKH Hanna | 70 |
| 39 | NONTASIN Chanpeng | 58 |
| 41 | VALSECCHI Silvia | 58 |
| 43 | SIGGAARD Christina | 67 |
| 55 | SOMNET Jupha | 54 |
| 57 | HATTELAND LIMA Tone | 65 |