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 - 57
This means that on average for every extra kilogram weight a rider loses 1.7 positions in the result.
Chan
4
70 kgMifune
20
70 kgTang
29
62 kgXu
52
69 kgWong
78
65 kgJiao
86
65 kgWu
87
68 kgZhang
99
80 kg
4
70 kgMifune
20
70 kgTang
29
62 kgXu
52
69 kgWong
78
65 kgJiao
86
65 kgWu
87
68 kgZhang
99
80 kg
Weight (KG) →
Result →
80
62
4
99
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | CHAN Chun Hing | 70 |
| 20 | MIFUNE Masahiko | 70 |
| 29 | TANG Wang Yip | 62 |
| 52 | XU Gang | 69 |
| 78 | WONG Kam-Po | 65 |
| 86 | JIAO Pengda | 65 |
| 87 | WU Kin San | 68 |
| 99 | ZHANG Liang | 80 |