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 + 58
This means that on average for every extra kilogram weight a rider loses -0.8 positions in the result.
Kitchen
6
60 kgLuo
7
68 kgManeephan
8
59 kgHsiao
9
58 kgDiao
12
59 kgSomnet
14
54 kgSomrat
20
56 kgNontasin
21
58 kg
6
60 kgLuo
7
68 kgManeephan
8
59 kgHsiao
9
58 kgDiao
12
59 kgSomnet
14
54 kgSomrat
20
56 kgNontasin
21
58 kg
Weight (KG) →
Result →
68
54
6
21
| # | Rider | Weight (KG) |
|---|---|---|
| 6 | KITCHEN Lauren | 60 |
| 7 | LUO Xiao Ling | 68 |
| 8 | MANEEPHAN Jutatip | 59 |
| 9 | HSIAO Mei Yu | 58 |
| 12 | DIAO Xiao Juan | 59 |
| 14 | SOMNET Jupha | 54 |
| 20 | SOMRAT Phetdarin | 56 |
| 21 | NONTASIN Chanpeng | 58 |