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 = 1.7 * weight - 75
This means that on average for every extra kilogram weight a rider loses 1.7 positions in the result.
Tang
3
62 kgMifune
8
70 kgWu
43
68 kgJiao
45
65 kgWong
46
65 kgChan
49
70 kgZhang
54
80 kgXu
64
69 kg
3
62 kgMifune
8
70 kgWu
43
68 kgJiao
45
65 kgWong
46
65 kgChan
49
70 kgZhang
54
80 kgXu
64
69 kg
Weight (KG) →
Result →
80
62
3
64
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | TANG Wang Yip | 62 |
| 8 | MIFUNE Masahiko | 70 |
| 43 | WU Kin San | 68 |
| 45 | JIAO Pengda | 65 |
| 46 | WONG Kam-Po | 65 |
| 49 | CHAN Chun Hing | 70 |
| 54 | ZHANG Liang | 80 |
| 64 | XU Gang | 69 |