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 = 0.9 * weight - 35
This means that on average for every extra kilogram weight a rider loses 0.9 positions in the result.
Wong
1
65 kgTang
12
62 kgSteurs
13
77 kgWu
27
68 kgXu
37
69 kgChan
51
70 kg
1
65 kgTang
12
62 kgSteurs
13
77 kgWu
27
68 kgXu
37
69 kgChan
51
70 kg
Weight (KG) →
Result →
77
62
1
51
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | WONG Kam-Po | 65 |
| 12 | TANG Wang Yip | 62 |
| 13 | STEURS Geert | 77 |
| 27 | WU Kin San | 68 |
| 37 | XU Gang | 69 |
| 51 | CHAN Chun Hing | 70 |