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 = 0.6 * weight - 21
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
Liu
1
52 kgHagiwara
2
52 kgGu
8
55 kgLuo
10
68 kgNa
11
55 kgNuntana
24
55 kgNontasin
25
58 kgManeephan
26
59 kg
1
52 kgHagiwara
2
52 kgGu
8
55 kgLuo
10
68 kgNa
11
55 kgNuntana
24
55 kgNontasin
25
58 kgManeephan
26
59 kg
Weight (KG) →
Result →
68
52
1
26
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LIU Xin | 52 |
| 2 | HAGIWARA Mayuko | 52 |
| 8 | GU Sungeun | 55 |
| 10 | LUO Xiao Ling | 68 |
| 11 | NA Ahreum | 55 |
| 24 | NUNTANA Supaksorn | 55 |
| 25 | NONTASIN Chanpeng | 58 |
| 26 | MANEEPHAN Jutatip | 59 |