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 = -0.5 * weight + 42
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
Kitchen
5
60 kgLuo
7
68 kgHsiao
8
58 kgSomnet
11
54 kgDiao
14
59 kgManeephan
15
59 kgSomrat
18
56 kg
5
60 kgLuo
7
68 kgHsiao
8
58 kgSomnet
11
54 kgDiao
14
59 kgManeephan
15
59 kgSomrat
18
56 kg
Weight (KG) →
Result →
68
54
5
18
| # | Rider | Weight (KG) |
|---|---|---|
| 5 | KITCHEN Lauren | 60 |
| 7 | LUO Xiao Ling | 68 |
| 8 | HSIAO Mei Yu | 58 |
| 11 | SOMNET Jupha | 54 |
| 14 | DIAO Xiao Juan | 59 |
| 15 | MANEEPHAN Jutatip | 59 |
| 18 | SOMRAT Phetdarin | 56 |