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 = 1.3 * weight - 63
This means that on average for every extra kilogram weight a rider loses 1.3 positions in the result.
Wong
1
65 kgMifune
5
70 kgTang
7
62 kgWu
8
68 kgNishitani
20
62 kgZhang
27
80 kgTreacey
32
67 kgXu
60
69 kgChan
65
70 kg
1
65 kgMifune
5
70 kgTang
7
62 kgWu
8
68 kgNishitani
20
62 kgZhang
27
80 kgTreacey
32
67 kgXu
60
69 kgChan
65
70 kg
Weight (KG) →
Result →
80
62
1
65
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | WONG Kam-Po | 65 |
| 5 | MIFUNE Masahiko | 70 |
| 7 | TANG Wang Yip | 62 |
| 8 | WU Kin San | 68 |
| 20 | NISHITANI Taiji | 62 |
| 27 | ZHANG Liang | 80 |
| 32 | TREACEY David | 67 |
| 60 | XU Gang | 69 |
| 65 | CHAN Chun Hing | 70 |