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 = -1.5 * weight + 107
This means that on average for every extra kilogram weight a rider loses -1.5 positions in the result.
Campbell
1
63 kgReusser
2
70 kgZabelinskaya
4
52 kgManeephan
5
59 kgKononenko
6
68 kgSomnet
12
54 kgSaifutdinova
13
57 kgKajihara
14
59 kgSolovey
17
56 kgLuo
21
57 kgKasenova
22
52 kgAhmad Jumry
28
55 kgNuntana
29
55 kgPachshenko
33
52 kgShekel
38
58 kgSomrat
41
56 kgNontasin
42
58 kgKhatuntseva
57
54 kg
1
63 kgReusser
2
70 kgZabelinskaya
4
52 kgManeephan
5
59 kgKononenko
6
68 kgSomnet
12
54 kgSaifutdinova
13
57 kgKajihara
14
59 kgSolovey
17
56 kgLuo
21
57 kgKasenova
22
52 kgAhmad Jumry
28
55 kgNuntana
29
55 kgPachshenko
33
52 kgShekel
38
58 kgSomrat
41
56 kgNontasin
42
58 kgKhatuntseva
57
54 kg
Weight (KG) →
Result →
70
52
1
57
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CAMPBELL Teniel | 63 |
| 2 | REUSSER Marlen | 70 |
| 4 | ZABELINSKAYA Olga | 52 |
| 5 | MANEEPHAN Jutatip | 59 |
| 6 | KONONENKO Valeriya | 68 |
| 12 | SOMNET Jupha | 54 |
| 13 | SAIFUTDINOVA Natalya | 57 |
| 14 | KAJIHARA Yumi | 59 |
| 17 | SOLOVEY Hanna | 56 |
| 21 | LUO Yi Wei | 57 |
| 22 | KASENOVA Karina | 52 |
| 28 | AHMAD JUMRY Nur Azrenna | 55 |
| 29 | NUNTANA Supaksorn | 55 |
| 33 | PACHSHENKO Svetlana | 52 |
| 38 | SHEKEL Olga | 58 |
| 41 | SOMRAT Phetdarin | 56 |
| 42 | NONTASIN Chanpeng | 58 |
| 57 | KHATUNTSEVA Gulnaz | 54 |