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 + 34
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Maneephan
1
59 kgKajihara
2
59 kgCampbell
3
63 kgZabelinskaya
7
52 kgSaifutdinova
8
57 kgNuntana
10
55 kgKasenova
12
52 kgAhmad Jumry
14
55 kgSomnet
15
54 kgReusser
16
70 kgKononenko
25
68 kgSolovey
27
56 kgNontasin
31
58 kgKhatuntseva
32
54 kgPachshenko
33
52 kgSomrat
36
56 kgLuo
39
57 kgShekel
41
58 kg
1
59 kgKajihara
2
59 kgCampbell
3
63 kgZabelinskaya
7
52 kgSaifutdinova
8
57 kgNuntana
10
55 kgKasenova
12
52 kgAhmad Jumry
14
55 kgSomnet
15
54 kgReusser
16
70 kgKononenko
25
68 kgSolovey
27
56 kgNontasin
31
58 kgKhatuntseva
32
54 kgPachshenko
33
52 kgSomrat
36
56 kgLuo
39
57 kgShekel
41
58 kg
Weight (KG) →
Result →
70
52
1
41
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MANEEPHAN Jutatip | 59 |
| 2 | KAJIHARA Yumi | 59 |
| 3 | CAMPBELL Teniel | 63 |
| 7 | ZABELINSKAYA Olga | 52 |
| 8 | SAIFUTDINOVA Natalya | 57 |
| 10 | NUNTANA Supaksorn | 55 |
| 12 | KASENOVA Karina | 52 |
| 14 | AHMAD JUMRY Nur Azrenna | 55 |
| 15 | SOMNET Jupha | 54 |
| 16 | REUSSER Marlen | 70 |
| 25 | KONONENKO Valeriya | 68 |
| 27 | SOLOVEY Hanna | 56 |
| 31 | NONTASIN Chanpeng | 58 |
| 32 | KHATUNTSEVA Gulnaz | 54 |
| 33 | PACHSHENKO Svetlana | 52 |
| 36 | SOMRAT Phetdarin | 56 |
| 39 | LUO Yi Wei | 57 |
| 41 | SHEKEL Olga | 58 |