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 * weight - 56
This means that on average for every extra kilogram weight a rider loses 1 positions in the result.
Wu
1
68 kgWong
2
65 kgXu
3
69 kgTang
4
62 kgNishitani
9
62 kgTreacey
12
67 kgZhang
16
80 kgMifune
21
70 kgChan
56
70 kg
1
68 kgWong
2
65 kgXu
3
69 kgTang
4
62 kgNishitani
9
62 kgTreacey
12
67 kgZhang
16
80 kgMifune
21
70 kgChan
56
70 kg
Weight (KG) →
Result →
80
62
1
56
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | WU Kin San | 68 |
| 2 | WONG Kam-Po | 65 |
| 3 | XU Gang | 69 |
| 4 | TANG Wang Yip | 62 |
| 9 | NISHITANI Taiji | 62 |
| 12 | TREACEY David | 67 |
| 16 | ZHANG Liang | 80 |
| 21 | MIFUNE Masahiko | 70 |
| 56 | CHAN Chun Hing | 70 |