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 = 0.8 * weight - 32
This means that on average for every extra kilogram weight a rider loses 0.8 positions in the result.
Liu
1
52 kgHagiwara
2
52 kgGu
9
55 kgNa
13
55 kgLuo
14
68 kgNuntana
24
55 kgManeephan
25
59 kgNontasin
27
58 kg
1
52 kgHagiwara
2
52 kgGu
9
55 kgNa
13
55 kgLuo
14
68 kgNuntana
24
55 kgManeephan
25
59 kgNontasin
27
58 kg
Weight (KG) →
Result →
68
52
1
27
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LIU Xin | 52 |
| 2 | HAGIWARA Mayuko | 52 |
| 9 | GU Sungeun | 55 |
| 13 | NA Ahreum | 55 |
| 14 | LUO Xiao Ling | 68 |
| 24 | NUNTANA Supaksorn | 55 |
| 25 | MANEEPHAN Jutatip | 59 |
| 27 | NONTASIN Chanpeng | 58 |