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 = 0.2 * weight + 5
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Wong
1
65 kgSteurs
11
77 kgTang
13
62 kgChan
19
70 kgXu
39
69 kgWu
44
68 kg
1
65 kgSteurs
11
77 kgTang
13
62 kgChan
19
70 kgXu
39
69 kgWu
44
68 kg
Weight (KG) →
Result →
77
62
1
44
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | WONG Kam-Po | 65 |
| 11 | STEURS Geert | 77 |
| 13 | TANG Wang Yip | 62 |
| 19 | CHAN Chun Hing | 70 |
| 39 | XU Gang | 69 |
| 44 | WU Kin San | 68 |