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 = 4.5 * weight - 254
This means that on average for every extra kilogram weight a rider loses 4.5 positions in the result.
Tang
5
62 kgMifune
9
70 kgWong
27
65 kgJiao
57
65 kgWu
68
68 kgChan
73
70 kgXu
92
69 kgZhang
101
80 kg
5
62 kgMifune
9
70 kgWong
27
65 kgJiao
57
65 kgWu
68
68 kgChan
73
70 kgXu
92
69 kgZhang
101
80 kg
Weight (KG) →
Result →
80
62
5
101
| # | Rider | Weight (KG) |
|---|---|---|
| 5 | TANG Wang Yip | 62 |
| 9 | MIFUNE Masahiko | 70 |
| 27 | WONG Kam-Po | 65 |
| 57 | JIAO Pengda | 65 |
| 68 | WU Kin San | 68 |
| 73 | CHAN Chun Hing | 70 |
| 92 | XU Gang | 69 |
| 101 | ZHANG Liang | 80 |