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 = -1.3 * weight + 93
This means that on average for every extra kilogram weight a rider loses -1.3 positions in the result.
Maneephan
1
59 kgCampbell
2
63 kgKajihara
3
59 kgKononenko
4
68 kgReusser
5
70 kgZabelinskaya
9
52 kgSomnet
12
54 kgKasenova
14
52 kgSaifutdinova
18
57 kgSolovey
20
56 kgNuntana
22
55 kgPachshenko
24
52 kgLuo
25
57 kgShekel
31
58 kgKhatuntseva
34
54 kgAhmad Jumry
45
55 kgNontasin
46
58 kgSomrat
49
56 kg
1
59 kgCampbell
2
63 kgKajihara
3
59 kgKononenko
4
68 kgReusser
5
70 kgZabelinskaya
9
52 kgSomnet
12
54 kgKasenova
14
52 kgSaifutdinova
18
57 kgSolovey
20
56 kgNuntana
22
55 kgPachshenko
24
52 kgLuo
25
57 kgShekel
31
58 kgKhatuntseva
34
54 kgAhmad Jumry
45
55 kgNontasin
46
58 kgSomrat
49
56 kg
Weight (KG) →
Result →
70
52
1
49
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MANEEPHAN Jutatip | 59 |
| 2 | CAMPBELL Teniel | 63 |
| 3 | KAJIHARA Yumi | 59 |
| 4 | KONONENKO Valeriya | 68 |
| 5 | REUSSER Marlen | 70 |
| 9 | ZABELINSKAYA Olga | 52 |
| 12 | SOMNET Jupha | 54 |
| 14 | KASENOVA Karina | 52 |
| 18 | SAIFUTDINOVA Natalya | 57 |
| 20 | SOLOVEY Hanna | 56 |
| 22 | NUNTANA Supaksorn | 55 |
| 24 | PACHSHENKO Svetlana | 52 |
| 25 | LUO Yi Wei | 57 |
| 31 | SHEKEL Olga | 58 |
| 34 | KHATUNTSEVA Gulnaz | 54 |
| 45 | AHMAD JUMRY Nur Azrenna | 55 |
| 46 | NONTASIN Chanpeng | 58 |
| 49 | SOMRAT Phetdarin | 56 |