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 = 0.8 * weight - 45
This means that on average for every extra kilogram weight a rider loses 0.8 positions in the result.
Wu
1
68 kgWong
2
65 kgXu
3
69 kgNishitani
4
62 kgTang
8
62 kgTreacey
10
67 kgZhang
15
80 kgChan
41
70 kg
1
68 kgWong
2
65 kgXu
3
69 kgNishitani
4
62 kgTang
8
62 kgTreacey
10
67 kgZhang
15
80 kgChan
41
70 kg
Weight (KG) →
Result →
80
62
1
41
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | WU Kin San | 68 |
| 2 | WONG Kam-Po | 65 |
| 3 | XU Gang | 69 |
| 4 | NISHITANI Taiji | 62 |
| 8 | TANG Wang Yip | 62 |
| 10 | TREACEY David | 67 |
| 15 | ZHANG Liang | 80 |
| 41 | CHAN Chun Hing | 70 |