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 = 0.3 * weight + 8
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
Moberg
1
56 kgFrapporti
2
63 kgSiggaard
3
67 kgErić
4
53 kgSanguineti
6
61 kgSkalniak-Sójka
10
54 kgJackson
15
63 kgSharakova
16
52 kgSomrat
17
56 kgChursina
18
52 kgBecker
19
64 kgKasenova
25
52 kgSaarelainen
37
58 kgNontasin
38
58 kgTserakh
42
70 kgPenton
43
55 kgValsecchi
50
58 kgSomnet
52
54 kgHatteland Lima
57
65 kg
1
56 kgFrapporti
2
63 kgSiggaard
3
67 kgErić
4
53 kgSanguineti
6
61 kgSkalniak-Sójka
10
54 kgJackson
15
63 kgSharakova
16
52 kgSomrat
17
56 kgChursina
18
52 kgBecker
19
64 kgKasenova
25
52 kgSaarelainen
37
58 kgNontasin
38
58 kgTserakh
42
70 kgPenton
43
55 kgValsecchi
50
58 kgSomnet
52
54 kgHatteland Lima
57
65 kg
Weight (KG) →
Result →
70
52
1
57
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MOBERG Emilie | 56 |
| 2 | FRAPPORTI Simona | 63 |
| 3 | SIGGAARD Christina | 67 |
| 4 | ERIĆ Jelena | 53 |
| 6 | SANGUINETI Ilaria | 61 |
| 10 | SKALNIAK-SÓJKA Agnieszka | 54 |
| 15 | JACKSON Alison | 63 |
| 16 | SHARAKOVA Tatsiana | 52 |
| 17 | SOMRAT Phetdarin | 56 |
| 18 | CHURSINA Anastasiia | 52 |
| 19 | BECKER Charlotte | 64 |
| 25 | KASENOVA Karina | 52 |
| 37 | SAARELAINEN Sari | 58 |
| 38 | NONTASIN Chanpeng | 58 |
| 42 | TSERAKH Hanna | 70 |
| 43 | PENTON Sara | 55 |
| 50 | VALSECCHI Silvia | 58 |
| 52 | SOMNET Jupha | 54 |
| 57 | HATTELAND LIMA Tone | 65 |