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 = 1.9 * weight - 86
This means that on average for every extra kilogram weight a rider loses 1.9 positions in the result.
Na
5
55 kgManeephan
6
59 kgNuntana
10
55 kgHsiao
12
58 kgSomrat
21
56 kgNontasin
35
58 kgLuo
48
57 kg
5
55 kgManeephan
6
59 kgNuntana
10
55 kgHsiao
12
58 kgSomrat
21
56 kgNontasin
35
58 kgLuo
48
57 kg
Weight (KG) →
Result →
59
55
5
48
| # | Rider | Weight (KG) |
|---|---|---|
| 5 | NA Ahreum | 55 |
| 6 | MANEEPHAN Jutatip | 59 |
| 10 | NUNTANA Supaksorn | 55 |
| 12 | HSIAO Mei Yu | 58 |
| 21 | SOMRAT Phetdarin | 56 |
| 35 | NONTASIN Chanpeng | 58 |
| 48 | LUO Yi Wei | 57 |