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 = 2.3 * weight - 107
This means that on average for every extra kilogram weight a rider loses 2.3 positions in the result.
Wong
1
65 kgMifune
16
70 kgJiao
38
65 kgChan
55
70 kgWu
65
68 kgXu
67
69 kgTang
70
62 kgZhang
87
80 kg
1
65 kgMifune
16
70 kgJiao
38
65 kgChan
55
70 kgWu
65
68 kgXu
67
69 kgTang
70
62 kgZhang
87
80 kg
Weight (KG) →
Result →
80
62
1
87
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | WONG Kam-Po | 65 |
| 16 | MIFUNE Masahiko | 70 |
| 38 | JIAO Pengda | 65 |
| 55 | CHAN Chun Hing | 70 |
| 65 | WU Kin San | 68 |
| 67 | XU Gang | 69 |
| 70 | TANG Wang Yip | 62 |
| 87 | ZHANG Liang | 80 |