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 = -0.7 * weight + 61
This means that on average for every extra kilogram weight a rider loses -0.7 positions in the result.
Blythe
3
68 kgWu
14
68 kgTang
16
62 kgChaabane
18
70 kgSuzuki
22
57 kg
3
68 kgWu
14
68 kgTang
16
62 kgChaabane
18
70 kgSuzuki
22
57 kg
Weight (KG) →
Result →
70
57
3
22
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | BLYTHE Adam | 68 |
| 14 | WU Kin San | 68 |
| 16 | TANG Wang Yip | 62 |
| 18 | CHAABANE Hichem | 70 |
| 22 | SUZUKI Yuzuru | 57 |