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 = 5.4 * weight - 330
This means that on average for every extra kilogram weight a rider loses 5.4 positions in the result.
Tang
3
62 kgWong
10
65 kgJiao
27
65 kgWu
35
68 kgXu
36
69 kgMifune
43
70 kgChan
51
70 kg
3
62 kgWong
10
65 kgJiao
27
65 kgWu
35
68 kgXu
36
69 kgMifune
43
70 kgChan
51
70 kg
Weight (KG) →
Result →
70
62
3
51
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | TANG Wang Yip | 62 |
| 10 | WONG Kam-Po | 65 |
| 27 | JIAO Pengda | 65 |
| 35 | WU Kin San | 68 |
| 36 | XU Gang | 69 |
| 43 | MIFUNE Masahiko | 70 |
| 51 | CHAN Chun Hing | 70 |