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 = -1.4 * weight + 110
This means that on average for every extra kilogram weight a rider loses -1.4 positions in the result.
Xu
1
69 kgSteurs
2
77 kgWu
10
68 kgWong
21
65 kgTang
26
62 kgChan
34
70 kg
1
69 kgSteurs
2
77 kgWu
10
68 kgWong
21
65 kgTang
26
62 kgChan
34
70 kg
Weight (KG) →
Result →
77
62
1
34
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | XU Gang | 69 |
| 2 | STEURS Geert | 77 |
| 10 | WU Kin San | 68 |
| 21 | WONG Kam-Po | 65 |
| 26 | TANG Wang Yip | 62 |
| 34 | CHAN Chun Hing | 70 |