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 = 3.2 * weight - 187
This means that on average for every extra kilogram weight a rider loses 3.2 positions in the result.
Tang
2
62 kgMifune
18
70 kgWong
19
65 kgJiao
31
65 kgWu
36
68 kgXu
39
69 kgChan
40
70 kg
2
62 kgMifune
18
70 kgWong
19
65 kgJiao
31
65 kgWu
36
68 kgXu
39
69 kgChan
40
70 kg
Weight (KG) →
Result →
70
62
2
40
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | TANG Wang Yip | 62 |
| 18 | MIFUNE Masahiko | 70 |
| 19 | WONG Kam-Po | 65 |
| 31 | JIAO Pengda | 65 |
| 36 | WU Kin San | 68 |
| 39 | XU Gang | 69 |
| 40 | CHAN Chun Hing | 70 |