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 = 1.2 * weight - 57
This means that on average for every extra kilogram weight a rider loses 1.2 positions in the result.
Maneephan
1
59 kgHagiwara
3
52 kgLiu
4
52 kgGu
5
55 kgNa
13
55 kgNuntana
16
55 kgLuo
25
68 kgNontasin
29
58 kg
1
59 kgHagiwara
3
52 kgLiu
4
52 kgGu
5
55 kgNa
13
55 kgNuntana
16
55 kgLuo
25
68 kgNontasin
29
58 kg
Weight (KG) →
Result →
68
52
1
29
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MANEEPHAN Jutatip | 59 |
| 3 | HAGIWARA Mayuko | 52 |
| 4 | LIU Xin | 52 |
| 5 | GU Sungeun | 55 |
| 13 | NA Ahreum | 55 |
| 16 | NUNTANA Supaksorn | 55 |
| 25 | LUO Xiao Ling | 68 |
| 29 | NONTASIN Chanpeng | 58 |