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 = 1.5 * weight - 76
This means that on average for every extra kilogram weight a rider loses 1.5 positions in the result.
Wong
2
65 kgMifune
7
70 kgWu
17
68 kgChan
18
70 kgTang
22
62 kgXu
53
69 kgZhang
57
80 kgJiao
62
65 kg
2
65 kgMifune
7
70 kgWu
17
68 kgChan
18
70 kgTang
22
62 kgXu
53
69 kgZhang
57
80 kgJiao
62
65 kg
Weight (KG) →
Result →
80
62
2
62
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | WONG Kam-Po | 65 |
| 7 | MIFUNE Masahiko | 70 |
| 17 | WU Kin San | 68 |
| 18 | CHAN Chun Hing | 70 |
| 22 | TANG Wang Yip | 62 |
| 53 | XU Gang | 69 |
| 57 | ZHANG Liang | 80 |
| 62 | JIAO Pengda | 65 |