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 = -1.6 * weight + 132
This means that on average for every extra kilogram weight a rider loses -1.6 positions in the result.
Blythe
2
68 kgWu
13
68 kgTang
17
62 kgChaabane
43
70 kgSuzuki
50
57 kg
2
68 kgWu
13
68 kgTang
17
62 kgChaabane
43
70 kgSuzuki
50
57 kg
Weight (KG) →
Result →
70
57
2
50
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | BLYTHE Adam | 68 |
| 13 | WU Kin San | 68 |
| 17 | TANG Wang Yip | 62 |
| 43 | CHAABANE Hichem | 70 |
| 50 | SUZUKI Yuzuru | 57 |