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 + 6
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Moberg
1
56 kgSanguineti
2
61 kgErić
4
53 kgFrapporti
6
63 kgSiggaard
7
67 kgSkalniak-Sójka
11
54 kgBecker
12
64 kgSharakova
13
52 kgChursina
14
52 kgSomrat
19
56 kgJackson
20
63 kgKasenova
25
52 kgKessler
35
60 kgTserakh
39
70 kgPenton
41
55 kgSaarelainen
42
58 kgValsecchi
45
58 kgNontasin
55
58 kgSomnet
57
54 kgHatteland Lima
60
65 kgDiao
66
59 kg
1
56 kgSanguineti
2
61 kgErić
4
53 kgFrapporti
6
63 kgSiggaard
7
67 kgSkalniak-Sójka
11
54 kgBecker
12
64 kgSharakova
13
52 kgChursina
14
52 kgSomrat
19
56 kgJackson
20
63 kgKasenova
25
52 kgKessler
35
60 kgTserakh
39
70 kgPenton
41
55 kgSaarelainen
42
58 kgValsecchi
45
58 kgNontasin
55
58 kgSomnet
57
54 kgHatteland Lima
60
65 kgDiao
66
59 kg
Weight (KG) →
Result →
70
52
1
66
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MOBERG Emilie | 56 |
| 2 | SANGUINETI Ilaria | 61 |
| 4 | ERIĆ Jelena | 53 |
| 6 | FRAPPORTI Simona | 63 |
| 7 | SIGGAARD Christina | 67 |
| 11 | SKALNIAK-SÓJKA Agnieszka | 54 |
| 12 | BECKER Charlotte | 64 |
| 13 | SHARAKOVA Tatsiana | 52 |
| 14 | CHURSINA Anastasiia | 52 |
| 19 | SOMRAT Phetdarin | 56 |
| 20 | JACKSON Alison | 63 |
| 25 | KASENOVA Karina | 52 |
| 35 | KESSLER Nina | 60 |
| 39 | TSERAKH Hanna | 70 |
| 41 | PENTON Sara | 55 |
| 42 | SAARELAINEN Sari | 58 |
| 45 | VALSECCHI Silvia | 58 |
| 55 | NONTASIN Chanpeng | 58 |
| 57 | SOMNET Jupha | 54 |
| 60 | HATTELAND LIMA Tone | 65 |
| 66 | DIAO Xiao Juan | 59 |